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By Bobby Carlton

One of the most significant benefits of automation and robotics as part of your workforce is increased efficiency.

The warehouse is a critical part of the supply chain. It is the place where inventory is stored and orders are fulfilled, and in recent years, there has been a growing trend of introducing technology such as VR/AR/MR, digital twins, real-time simulation, 3D AI, automation and robotics into the warehouse in many industries. This trend has been driven by the need to improve efficiency and productivity while reducing costs and keeping human employees safe.


Robotics and automation can help to improve accuracy in picking and packing orders. For example Amazon is turning toward robotics to assist their employees by taking on more of the tedious and repetitive tasks found in their own warehouses, where they can also help to reduce the time it takes to fulfill an order. In some cases, they can even help to reduce the amount of inventory that needs to be stored in the warehouse.


There are many different types of robots that can be used in the warehouse. The most common type is the articulated robot. These robots have a series of joints that allow them to move freely around the warehouse and are often used for tasks such as picking and packing orders.

Another type of robot that is often used in warehouses is the gantry robot. These robots are mounted on a fixed frame and move along a set path. These robots are typically used for tasks such as loading and unloading trucks.

You'll also find line follower robots used in many warehouses. Simply put, these robots use a line to guide them through their daily tasks such as delivering product to bins or sending product off for shipping.

Robots are not the only form of automation that is being used in warehouses. There are also a number of automated storage and retrieval systems (AS/RS) that are being deployed. These systems use a variety of technologies such as XR, lasers, sensors, and conveyors to automate the movement of inventory within the warehouse.

These systems use a variety of technologies such as lasers, sensors, and conveyors to automate the movement of inventory within the warehouse.


What is important to note here is that the warehouse industry is in the midst of a major transformation. Thanks to advances in technology such as AR and VR, robotics, digital twinning, real-time simulation and 3D AI, warehouses are becoming increasingly automated, with robots and other automated systems taking on an ever-increasing share of the workload. This shift is being driven by a number of factors, including the need for greater efficiency, accuracy, and safety.

One of the most significant benefits of automation is increased efficiency. Automated systems can work around the clock, without breaks or vacations, and can complete tasks much faster than human workers. In addition, automated systems are less likely to make mistakes than human workers, which can lead to significant savings in terms of time and money.

Another benefit of automation is improved safety. Automated systems can eliminate or reduce many of the hazards associated with traditional warehouse work, such as lifting heavy objects or working with dangerous chemicals. In addition, automated systems can be designed to meet or exceed all relevant safety standards.

Video by FS Studio

Finally, automation can help to improve the overall accuracy of warehouse operations. By eliminating human error, automated systems can help to ensure that inventory is always accurate and that orders are filled correctly, which have a positive impact on industry 4.0 goals. This can lead to happier customers and fewer returns.

Automated systems and robotics are becoming increasingly common, as they offer a number of benefits over traditional manual labor. These benefits include increased efficiency, improved safety, and enhanced accuracy. As the cost of automation decreases and the benefits continue to increase, it's likely that we'll see even more warehouses turning to technologies such as XR and digital twinning to improve how automation and robotics fit into the warehouse environment in the years to come.

By Bobby Carlton

Through the M Mixed Reality initiative, BMW sets their sites on how XR technology will play a role with in-car entertainment and the rise in passenger economy.

BMW has created a way for drivers to actually be behind the steering wheel of a moving vehicle while wearing a VR headset designed to enhance your driving experience, and it puts the automaker on a new path as they dive into how XR technology, and the rise in passenger experiences and self-driving vehicles are becoming a reality.

The German automaker recently unveiled a new way for people to experience their M2 vehicle through a VR headset that has you actually driving the car. The M2 Project, which is part of the automaker's "M Mixed Reality" initiative, allows people drive a car that includes your foot on the gas pedal, braking, steering, turn signals, even the radio! Except instead of seeing the real-world, you're driving through a futuristic city. Check out the video below!

It sounds totally sketchy to be behind the wheel of any car while wearing something over your face that cuts out your real-world environment, but this wasn’t designed for normal streets; BMW designed their VR experience to be used on the company’s test track. The VR software can adapt and re-create the virtual course of locations around the world.

With that said, you could absolutely see something like this for your passengers!

Thanks to computer vision and simultaneous localization and mapping (SLAM), the car has some safety triggers built in to make sure you don't get into an accident. As an added layer of safety, a BMW employee also rides in the passenger seat to watch the road and press an extra brake pedal in front of them.

One company that sees the potential of VR and passenger economy is Holoride. They first announced their work back in 2019 showing how passengers could access their VR experiences as part of in-car entertainment. Since then, they have improved the experience using HTC's Flow VR headset and just recently announced the launch of their in-vehicle VR entertainment system in Germany. Select Audi vehicles can purchase the Holoride Pioneers’ Pack, which includes everything you need to transform your car into an “always-in-motion virtual space” where you can play games, browse the web, and more.

The inspiration for the BMW project came from the company's digital city, which was known as M Town. Alex Kuttner, the engineer who developed the VR experience, said that the BMW fans wanted to visit the city if it was a real place.

“M Town is a mindset,” Kuttner said in an official BMW press release. “It’s a town where everything is possible, and that was the moment I realized we aren’t only here for selling products. We’re here for selling emotions and experiences. These two things combined in mixed reality are only the start of something really great in the future.”

Almost two years ago, the company started working on the mixed-reality project, which was initially supposed to be used for the M5 model. However, instead, it was designed for the M2. According to the company's executives, the project could also be used to help drivers in racing competitions and training courses.

Frank van Meel, the company's CEO, said that the goal of the project was to give employees a chance to explore new ideas without having to think about the business case for each new innovation.

“I think the interesting thing is now we have an answer, and the question is, what is the question to this answer?” van Meel said. “There are so many ideas. We haven’t found the final answers, but we’re working on all of these kinds of ideas.”

Although the experience isn't yet available for the general public, the company invited several prominent gamers and content creators to participate in the development of the virtual reality experience. One of these was Cailee, a popular Twitch streamer and member of the G2 esports team. She said that she had previously tried playing video games in VR, but this was the first time that she actually used it. She believes that other games could also benefit from the technology.

“It’s just the most insane experience I’ve ever, ever had,” she said. “I play Rocket League, I’ve sunk so many hours into it and everything, but I really cannot describe the experience that I had in Munich.”

BMW hosted a demo of the mixed-reality experience in Lisbon. For those who were able to try it, the results were impressive, with everyone stating how the virtual course matched the actual driving experience, from speeding up, slowing down, and turns.

The first lap of the course featured a variety of obstacles that people had to avoid. To help "gamify" the experience, drivers had the task of collecting coins along the way. On the second and third laps, a timed element demanded that drivers accelerate, which provided them with the real feeling of racing. The suspension of reality allowed drivers to feel more comfortable with the way they drove.

According to David Hartono, the creative tech director of Monogrid, BMW's interest in gaming is evidenced by the company's decision to turn the vehicle's internal display into a controllers. Last month, BMW partnered with AirConsole to allow players to play games using the company's in-car display. He noted that the company's use of VR technology could help reinforce its image as an innovative and pioneering company.

Sean MacPhedran, a senior director at SCS, a digital agency based in California, praised the BMW's mixed-reality experience, saying that it was a step up from the traditional methods of driving luxury cars. It also highlighted the company's capabilities in a more consumer-friendly manner.

“With BMW doing so much work with mixed reality and industrial 4.0, it’s hard to telegraph that to a consumer,” MacPhedran said. “A consumer doesn’t care about all the stuff you’re doing to make a car that much better. It kind of reminds me of how they show the car in the wind tunnel, but now they’re doing this to show how advanced a car is.”

Several car brands have started experimenting with VR and AR in the past couple of years. In 2017, Lucid, a luxury electric vehicle startup, opened its New York City showroom to allow people to explore its virtual models. In 2022, Porsche and Audi announced that they would be partnering with the startup Holoride to develop in-car VR systems that would be used to give passengers an incredible immersive experience.

While Nissan turned to AR to show potential car buyers how safe their cars are and used VR as a fun tongue-in-cheek way to start a conversation about recruiting mechanics.

Along with the auto industry, we are also seeing aviation look at VR technology to change the way their customers experience air travel.

According to Mike Ramsey, an analyst at Gartner, car companies are constantly looking for ways to keep up with the technological advancements that are happening in the industry. However, he noted that BMW was one of the first companies to invest in both virtual and augmented reality systems. Despite the company's early involvement in the technology, he believes that the company's use of VR is more about brand building and setting their targets on the rise of XR and passenger experiences.

“It’s one of those things that every single car company is investing in but nobody has figured out what the business value is,” he said. “Augmented reality, virtual reality, all of these technologies. For a company that has a performance-oriented orientation, they’re going to look at that as a way to expand their brand beyond the physical to wherever you travel, so to speak.”

BMW Mixed Reality Experience. Image by BMW

According to Heiko Wenczel, the director of the UE business at Epic Games, the BMW experience was built using real-time sensors and interactions with the car's surroundings. He said that being able to test and experience something in virtual reality is very beneficial for developing real-world products.

“You can translate that into any part of the manufacturing and automotive world,” Wenczel said. “Like when you design you get real-time feedback automatically, like what that is, and the human scale of designing cars and like understanding what mobility will be in the future needs that kind of interaction in real-time.”

Instead of rushing to develop something, companies often have to find a reason for their actions and how they can make money from it. According to van Meel, it's important to start with a low-budget project to avoid investing too much money. Although BMW wouldn't provide the exact amount of money that it spent on the project, van Meel noted that the company's budget was relatively lean.

“If you take a step back and you say, well, it’s not finished yet, but I can see a lot of creativity and a lot of potential that is still a little bit unclear,” said van Meel. “You just should let it happen if it’s not insanely expensive, of course, because then you need to make decisions right away.”

With the more automakers looking at XR technology as part of the in-ride experience and focusing on passenger economy, and companies like Einride with their driverless technology, the automotive industry is entering a brand new phase.

By Bobby Carlton

With its network perfectly synchronized with the real world, Digital Schiene Deutschland (Digital Rail for Germany, DSD) can run optimization tests and “what if” scenarios to test and validate changes in the railway system, such as reactions to unforeseen situations.

The German railway company, Deutsche Bahn is building a digital twin of its railway network that will allow them to monitor and improve the performance of its 20,500 miles of tracks and stations. Through an interconnected network of sensors and cameras and AI through Nvidia Omniverse, the railway can analyze the data collected by its sensors and cameras to identify the causes of its various operational issues and improve its performance.

Deutsche Bahn
Image from Nvidia

A digital twin can provide you with a quick overview of what's going wrong, but it can also help you prevent it. With the help of AI, you can learn how to fix issues and make the whole system work better. For instance, an AI can analyze a process and uncover design flaws and identify the cause of why it's happening. It can also help you schedule regular inspections and maintenance on certain parts of the machinery through predictive maintenance.

“With NVIDIA technologies, we’re able to begin realizing the vision of a fully automated train network,” said Ruben Schilling, who leads the perception group at DB Netz, part of Deutsche Bahn in an official Nvidia press release. "The envisioned future railway system improves the capacity, quality and efficiency of the network."

That said, it’s important to not underestimate the real-time aspect of AI’s role with digital twinning in industry 4.0. According to David Crawley, a professor at the University of Houston's College of Technology, the university collaborated with other organizations to develop a digital twin that can be used in its digital oilfield laboratory.

He noted that an oil rig worker in the South Pacific was able to use AR headgear to show an engineer how to fix a faulty part of the equipment without shutting down the operations.

According to Crawley, the use of AI in the metaverse allows people to engage in activities that are similar to what they're actually doing in the real world using a AR, VR, or WebXR. For instance, a worker hundreds of miles away can use a device like a Magic Leap 2 headset to fix a pipe or identify a problem with a valve.

There's also a symbiotic relationship between AI and digital twins that exists in an industrial metaverse.

“AI is ultimately the analysis of data and the insights we draw from it,” Lisa Seacat DeLuca, then a distinguished engineer and director of Emerging Solutions at IBM, during an interveiw with VentureBeat. “The digital twin provides a more effective way to monitor and share that data, which feeds into AI models. I boldly state that you can’t have AI without digital twins because they can bring users closer to their assets and enable them to draw better, more accurate and more useful insights.”

A digital twin can be built using the data collected by various sensors and devices and IOT. Aside from providing more data points, the digital twin can also help improve the AI's performance by allowing it to perform more effective simulations.

Deutsche Bahn Chief Technology Innovation Officer Rolf Härd, noted that the company can collect enough data to allow its AI to perform more impactful simulations and provide predictions that will help Deutsche Bahn be more efficient.

David Crawley explained how a digital twin can be used to perform predictive maintenance analyses on a trains components, and noted that because of his knowledge of how these components work, he can use the digital twin to model maintenance scenarios.

When creating a digital twin at such a large scale, the process can become a massive undertaking. You need a strategy and a roadmap to a custom-built 3D pipeline that connects computer-aided design datasets that are built within your ecosystem with high-definition 3D maps and various simulation tools. In this case Deutsche Bahn used Nvidia's Universal Scene Description 3D framework, to connect and combine data sources into a single shared virtual model.

Through digital twinning and data collected by the IoT sensors, Crawley and his team were able to identify areas where his organization can improve its operations. For instance, by analyzing the speed and weather of a train, he was able to identify where Deutsche Bahn could improve its service to its customers.

By Bobby Carlton

Mercedes-Benz and Coca-Cola have partnered with Microsoft to improve their goals with consumer, commercial, and in the industrial realm.

In the past year we have seen a lot of movement with brands and industries shifting towards a mission statement that embraces virtual tools and XR enterprise solutions. One company making that shift is the tech giant Microsoft. To help them stay focused on making strategic steps towards that goal, they have created an internal group called the Industrial Metaverse Core, which will explore immersive tech for workers in the industrial sector. 

After all, the use of a digital twin is more sustainable, allows companies to explore scenarios without putting employees in danger or using actual products, has a proven ROI, and it can give you supercharged KPIs and data.

Through the use of XR solutions, Microsoft aims to enhance the core capabilities of industrial work by developing software interfaces that can be used in various functions such as industrial robotics, automated warehouses, and control systems for electrical plants. The company also claims that a virtual world that's focused on factory environments could be used to monitor machines, automated warehouse environments, and help with overall workplace safety.

In addition, Microsoft's industrial offerings will also cover transportation networks. In 2018, the company acquired AI startup company Bonsai, which it said would be integrated into the company's Azure public cloud. Gurdeep Pall, the corporate vice president of Microsoft's autonomous systems division, noted that the service would be used on the company's platform.

Through the company's services, industrial engineers are able to combine AI and XR with their existing processes and equipment, and it can be done regardless of the engineer's experience in software development.

One company looking to take advantage of XR technology is Mercedes-Benz. The automobile company has partnered with Microsoft and is reportedly working on developing a new XR data platform that will allow the German carmaker to improve its vehicle production efficiency by connecting Microsoft’s Cloud with Mercedes-Benz’s newly-introduced MO360 Data Platform.

Image from Microsoft

The platform will be able to connect with the company's existing data infrastructure, which would help Mercedes-Benz improve in three ways; vehicle-production efficiency, sustainability, and resilience. 

“This new partnership between Microsoft and Mercedes-Benz will make our global production network more intelligent, sustainable and resilient in an era of increased geopolitical and macroeconomic challenges,” said Joerg Burzer, a member of the Board of Management of Mercedes-Benz Group AG, Production & Supply Chain Management. Burzer continues, “the ability to predict and prevent problems in production and logistics will become a key competitive advantage as we go all electric.”

Mercedes-Benz’s Chief Information Officer, Jan Brecht, provided additional advantages of MO360’s operability saying, “With the MO360 data platform, we democratize technology and data in manufacturing. As we are moving toward a 100% digital enterprise, data is becoming everyone’s business at Mercedes-Benz. Our colleagues on the shop floor have access to production and management-related real-time data. They are able to work with drill-down dashboards and make data-based decisions.”

Brecht says this will allow everyone in the organization to access and use real-time data and noted that the platform would allow employees to make better decisions and improve their efficiency.

Of course we are only talking about the automobile industry. Microsoft looks to use their Industrial Metaverse Core and explore how immersive technology and XR enterprise solutions can have a positive impact on all types of work.

During Microsoft's 2022 Ignite event, company COO Judson Althoff talked about what he believes are the three categories of innovation within the metaverse; consumer, commercial and industrial realms.

According to Althoff, organizations can use machine learning and artificial intelligence to analyze and improve the data they collect in an enriched state. These capabilities can then be used to create digital twins of their operations.

He said that creating digital twins can help improve the efficiency and effectiveness of industrial processes by allowing workers to access and manage different parts of the operation.

Through the use of digital twins, employees can also connect with their digital feedback loop. He said that by feeding the twins into experiences that are on handheld devices, they can easily create their own app tool chains that will allow them to interact with their lives in a digital manner.

“You can think of this as the model teaching the people and the people teaching the model for real time digital feedback and enhanced learning."

Despite the various changes that have occurred in the metaverse, Althoff noted that the industrial metaverse is still in its infancy. He said that hundreds of organizations are already using these capabilities in their operations.

Althoff indicated that sustainability could be one of the biggest benefits presented by the industrial metaverse.

“If you make anything or you move anything, you create a carbon footprint,” he said. “If we can simulate that infinitely in the cloud before you make it or before you move it, we can help you build better products more effectively, more efficiently, with lower carbon footprint, lower water utilization, more sustainably than ever before.”

Through its industrial metaverse capabilities, Microsoft has been able to help companies like Hellenic, which is one of the largest producers of Coca-Cola products in Europe. With over 55 facilities across the continent, Hellenic is able to produce over 90,000 bottles of Coca-Cola per hour on a single production line.

According to Althoff, the company was able to reduce its energy consumption by over 9% in just 12 weeks by implementing a sensor fabric and creating digital twins.

That is a pretty huge benefit.

By Bobby Carlton

Configurable computing and sensor reference platform powered by Jetson Orin slashes development time and cost for AMR manufacturers and software vendors.

Nova Orin, a reference platform for developing autonomous mobile robots, is getting updated with new features and capabilities. These include three reference platform configurations. Two use a single Jetson AGX Orin — which runs the NVIDIA Isaac robotics stack and the Robot Operating System (ROS) with the GPU-accelerated framework — and one relies on two Orin modules.

Nova Orin aims to reduce the development costs and improve the reliability of autonomous mobile robots (AMRs) by developing them on a platform that's easy to use.

Nova Orin
Image from Nvidia

Unlike self-driving cars, AMRs are not required to have pre-programmed tracks. They can operate in unstructured environments and avoid obstacles, making them ideal for various applications such as warehouse management and last-mile delivery.

Nova Orin's industrial-grade platform features a variety of sensors and software configurations that can be used to develop autonomous mobile robots. With the help of NVIDIA AI, developers can focus on building unique applications for these robots.

The market for intralogistics using mobile robots is expected to grow significantly over the next couple of years. According to estimates by ABI Research, the market will be worth $46 billion by 2030.

For specific use cases, Nova Orin's reference architecture can be used. There are three different design variants that are based on the platform's sensors and safety-certified peripherals. The third variant uses a dual Orin-based design that is designed with vision AI to enable functional safety.

Nova Orin's sensors support various types of sensors, such as lidars, stereo cameras, and ultrasonic sensors. These are designed to meet the needs of industrial applications. The diverse coverage offered by the suite of sensors ensures that they can be used safely and effectively in the development of safe and collaborative applications.

NVIDIA has partnered with camera partners to create the stereo and fisheye cameras, which are custom-designed for Nova Orin. These allow autonomous mobile robots to detect and avoid obstacles and objects in different environments. They can also support simultaneous localization and mapping (SLAM).

Nova Orin supports two types of lidars, one for applications that don't require safety-certified sensors, and one for those that do. In addition, the platform supports 3D lidar for collecting ground-truth data.

NVIDIA is driving the development of Nova Orin by providing extensive software support. This platform features a variety of sensors and software configurations that can be used to develop autonomous mobile robots.

Nova Orin's base OS includes a variety of drivers and software configurations that can be used to develop autonomous mobile robots. It can also be integrated with ROS-based applications.

To assist on expediting results, Nova Orin's sensors can be used to develop applications without the need for a robot, and they can be tested and validated using Isaac Sim, an open-source framework for developing robots.

The cloud-based tools used by Nova Orin allow developers to quickly create and manage data pipelines for their sensors. They eliminate the need for manual data collection and analysis, as well as the time-consuming task of setting up data pipelines. Nova Orin's GPU accelerated platform also provides key building blocks for developing applications, such as stereo depth estimation, visual SLAM, and 3D reconstruction.

Nova Orin also allows developers to create 3D maps of their environments in the cloud. These can be used to improve the efficiency of their applications, such as fleet planning and navigation. They can additionally be continuously updated using the data collected by the robots.

As the evolution of robotic systems continues, the need for secure and reliable deployment and management of AI software is becoming more critical.

A recent Wall Street Journal article highlights how robots are being deployed at a record pace, from their traditional strongholds like making automobiles into nearly every other human endeavor with a massive new wave of robots arriving to fill the space of scarce workers.

Nova Orin's secure over-the-air updates and device management capabilities allow developers to easily deploy and manage their applications. Its open design also allows them to extend the platform and create new robotic systems.

Through its partnership with regulators, NVIDIA is working on developing vision-enabled safety technology that can help reduce the cost and improve the reliability of autonomous mobile robots. The company also provides a software development kit that can be used to create navigation applications.

The increasing productivity of factories and warehouses can be attributed to the use of autonomous mobile robots that can perform safely and efficiently side by side. With the help of Nova Orin's 3D sensing capabilities, this can be achieved.

Automotive solutions and artificial Intelligence evolution at its forefront are continuously improving at a steady pace. Automotive solutions in cars are rapidly evolving and becoming more and more common among cars on some level.

 With the demands of cars increasing day by day the traffic on roads is also increasing. It naturally increases by reducing accidents and energy consumption due to the traffic and emissions from these cars.

Automotive solutions with Artificial Intelligence (AI) at its core are emerging as one of the promising solutions to all these problems spanning across different domains of environmental, social, and economic issues.

An automotive car is an automated or self-driving car generally equipped with technologies that enable the vehicle to detect and analyze its surroundings to either assist the human driver or even drive the car all by itself.

Furthermore, different advanced technologies and AI are used to make various decisions and actions regarding automotive solutions like acceleration, steering wheel control, deacceleration, lane change, parking, etc. Thus, it is either easy for the driver or for the automotive system itself.

The rapid progress on automotive solutions and cars will enable a future with no human drivers, only self-driving vehicles that would drive humans instead of humans driving them. However, to reach this future, the automotive solution for cars would have to be safe enough to be widely adopted and trusted.

Today's Automotive Solutions

Today, in some cars, the car warns the driver of high speeds, unsafe lane changes, warns drivers of vehicles behind or ahead of the car, and assists the driver with navigation and braking. One of the most famous examples of automotive cars is Tesla.

Tesla employs what it calls an Autopilot system to enable these functions. In addition, Tesla promises a fully self-driving car soon with a fully automotive car capable of driving itself without needing any human assistance.

Similarly, several Electric Cars (EVs) offer automotive solutions with autonomy that assists the driver. However, fully automotive cars are yet to hit the market.  The autonomy of a car is divided into 6 categories according to the features and level of autonomy provided.

Starting from level 0 with no automation solution of any kind to full automation in level 5, the level of independence reached by Tela can be classified as a level 2 autonomy where the car has combined automotive solutions like steering wheel control, acceleration, braking, lane change but the human driver must be engaged at all times with the vehicle during the driving.

Level 0 automotive cars have no automation whatsoever. Level 1 has features that can be of assistance to the driver during driving of the car. Level 2 is partial automation with combined automation features but requires human drivers to be present at all times.

Level 3 is conditional automation, with drivers required to monitor the car but not necessarily drive the car except when needed. High automation on level 4 offers complete automotive solutions on specific conditions and may have the option to be drivable by humans. Finally, level 5 is the highest level of automation, i.e., a Full automotive solution with the car capable of autonomously driving under all conditions and requires no human interventions.

Automotive Solutions

 Benefits from Automotive Cars

Safety is one of the top priorities when building an automotive car solution. When all cars are fully automated, the capability of total automotive traffic offers massive protection and managed traffic benefits.

In addition, the fact that 94% of all accidents occur due to human error shows that drivers are the most dangerous factor in traffic. So, with automotive solutions in the equation, such systems can decrease accidents and increase road safety by a considerable margin. It is paramount in today's world, where almost 35 thousand people die in car crashes across the United States in a year.

Read more: Applications of VR and AR in the Aviation Industry

Apart from this, automotive cars also offer economic benefits and benefits related to the quality of life. Since automotive vehicles can reduce car accidents, they also reduce costs associated with and occurred due to car crashes.

In 2010, NHTSA estimated that almost 242 billion dollars of economic activity went into loss due to car crashes and 57 billion dollars worth of productivity lost. However, one of the most crucial financial losses comes from the loss of life and quality of life and injuries related to accidents, with figures amounting to almost 594 billion dollars.

Alongside this, fully autonomous traffic with automotive solutions could also offer smooth & managed traffic flow benefits. Due to this, the traffic times to commute from different places may reduce drastically while cutting the time that would have been spent on other productive or meaningful activities. Studies even show up to 50 minutes of reduced driving each day if the traffic has a complete automation solution.

Additionally, people who cannot drive and commute may commute to different places due to automotive cars. Apart from this, managed traffic also reduces traffic time resulting in less environmental pollution and loss of resources.

Moreover, commute with automotive solution systems may enable millions of people to commute more efficiently, eventually improving a whole country's economy due to efficient travel being possible.

Dangers from Automotive Cars

Today no car in the market supports a complete automotive solution. Some newer cars provide automation up to level 1 or 2. But since vehicles with this level of automotive solution always require human attention and engagement, their dangers cannot be easily identified. Moreover, automotive cars are still in the early phase of development. It means that more development and tests should be conducted to assess them properly.

One of the significant safety concerns related to automotive cars is the failure of the AI system responsible for the car's autonomy. Although these failures can also be addressed with individual fallback plans for different actions performed by the car, it remains one of the top concerns.

However, the safety of an automotive car largely depends upon its level of automotive solution and control over the car. Hence, all car components must be working well in conjunction with the system providing automotive solutions to ensure that AV functions without errors.

Accidents related to automotive cars are scarce but are usually blown out of proportion even if the accident was caused due to human error. However, mistakes may happen in automotive cars since self-driving technology is not yet mature enough and will require human supervision at all times during its use.

Read more: IoT Technology and Smart Devices for Home Automation in 2021

One of the common errors that can occur in automotive cars is perception error. When the layer of system responsible for acquiring real-time data from multiple preceptory sensors fails, the automotive solution system automatically fails due to its inability to collect data.

In worse cases, if such real-time data becomes corrupted, the automotive system may even make wrong decisions. It is another significant danger in an automotive car. If the decision-making process in any automotive vehicle fails, the AI system may make bad decisions concerning the corrupted process.

Another significant danger involved in automotive cars is in their ability to perform specific actions. For instance, if an automotive solution system cannot apply brakes on the vehicle due to some error or restrictions, it will not stop the car even if it detects any error.

Similarly, failure in actuators systems, control systems, powertrain systems, etc., may lead to losses in automotive solutions. Hence it is imperative to test automotive cars in different scenarios and failure points. 

Ironically, one of the significant dangers of automotive cars comes due to other drivers. According to the State of California Department of Motor Cars, most accident cases of automotive vehicles are caused due to other drivers and their reckless driving. Human driving dangers like drunk driving, road rage, reckless drivers, and angry or enraged pedestrians & drivers are enough to confuse even the most experienced human drivers.

So it's relatively easy for automotive cars not to handle such complicated situations by themselves. It is especially true since automotive vehicles are fully developed, implemented, and adopted with complete automotive solutions across all roads and traffic.

Automotive Solutions


Automotive solutions and automotive cars are a relatively new technology that is still being worked on. It's an immature technology that is still developing, albeit it is progressing very rapidly.

Automotive solutions in cars will bring a new paradigm shift in traffic and commute systems, with various benefits like reduced traffic accidents, increased effectiveness in economic and environmental aspects related to traffic, increased quality of life, and improved general commute among ordinary people.

However, since the level of safety on automotive cars largely depends upon the level of automotive solution on the car, it is still early to determine if the technology of automotive solution concerns safe or not.

Although fully automotive solutions promise unparalleled safety along with economic and social benefits, it still has a long way to go until it replaces existing human drivers.