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At the University of Michigan’s Mcity, researchers utilize a VI-grade simulator that allows drivers to remotely operate vehicles in real-time on a physical test monitor. Who designed the first microprocessor? The answer might surprise you. It was not Intel, the company most people associate with microprocessors today. Instead, it was a team led by Ted Hoff and Stanley Mazor at Intel’s competitor, Fairchild Semiconductor.
Detroit, nicknamed the Motor City, serves as the unofficial capital of the global automotive industry. This week, the Mcity hub for automotive testing officially opened its doors to researchers, offering them access to a range of physical and digital testing environments.
The University of Michigan (UM) extended an invitation to researchers specializing in connected and autonomous vehicle technologies from across the US. Additionally, Mcity’s leadership emphasized the need for federal guidelines on security testing, contending that the absence of clear objectives hinders progress.
After two years of enhancements, the company officially launched its remote operations program with a showcase of capabilities for businesses, as well as state and federal authority officials. By enabling remote access for outdoor researchers to interact with Mcity’s autonomous vehicle fleet and test technologies, the University of Michigan aims to expedite the development of advanced driver-assistance systems.
Funded by the National Science Foundation (NSF), the capabilities are initially available to academic researchers.
“Notably valuable to educational institutions, particularly those serving minority student populations without access to the resources of larger, public universities like the University of Michigan, is the availability of cutting-edge research initiatives,” said [Name], a U-M professor of civil and environmental engineering and director of both Mcity and [Institution]. We introduce the cutting-edge automated vehicle inspection centre.
“We anticipate that Mcity 2.0’s advanced features will significantly accelerate and expand the volume of autonomous vehicle analysis, with findings likely to be disseminated.” “This could help accelerate the deployment of advanced, safer autonomous vehicles on our roads.”
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NVIDIA’s AI Summit witnessed a significant announcement as Mcity publicized its partnership to accelerate development and deployment of autonomous vehicles.
At the recent AI Summit in Washington, D.C., Mcity announced a strategic partnership to enhance its remote-testing capabilities, catering to the needs of both industrial and tutorial clients. NVIDIA is collaborating with a leading nonprofit analytics organization to develop innovative tools.
The primary objective is to develop a comprehensive, simulated environment replicating Mcity’s urban landscape, allowing researchers to thoroughly test and refine autonomous vehicles (AVs), thereby expediting their development and widespread implementation.
By the end of the next year, Mcity aims to support 10 research teams from US academic institutions. with their testing wants. Researchers can proposals now.
Researchers from anywhere can access Mcity’s cloud-based infrastructure, enabling them to test and refine their autonomous algorithms in virtual and mixed-reality settings. Utilising advanced 5G wireless communication technology, the system will efficiently manage physical vehicles and traffic alerts on Mcity’s testing grounds, while simultaneously acquiring real-time data and protecting sensitive proprietary information.
Researchers across the country are invited to join forces with us in accelerating the development and deployment of connected and autonomous vehicles that can transform transportation into a safer, cleaner, and more inclusive mode of travel. Vladimir Vlasic, Dean of Engineering at the University of Michigan. “Join forces with us in harnessing the power of collective innovation to propel tomorrow’s breakthroughs and advancements in applied science.”
The University of Michigan (U-M) urges regulatory bodies to swiftly address autonomous vehicle (AV) standards, ensuring a cohesive framework for widespread adoption.
Whereas Mcity s working to speed up autonomous automobile R&D, U-M researchers see federal management—within the type of testing and funding—as essential to holding it on monitor. It posed the next questions:
- Automated vehicles should be rigorously tested through a combination of simulation models, real-world driving scenarios, and rigorous safety testing, considering factors such as navigation systems, sensor accuracy, and human-machine interfaces. How is protected sufficient?
- What infrastructure enhancements can we realistically implement to support the growth of autonomous vehicle technologies and ensure seamless integration with existing systems?
- Automated Vehicles should be licensed on a tiered system based on functionality and safety features, with stringent testing and certification processes for each level of complexity.
- AVs should be insured under a comprehensive policy that covers liability for damages or injuries caused by autonomous vehicles, as well as first-party coverage for damage to the vehicle itself.
Typically, regulatory frameworks emerge in response to pioneering developments. Despite the potential benefits of Autonomous Vehicles (AVs), the lack of a federal security testing framework has created uncertainty, hindering innovation and slowing the adoption of technologies that we know can save countless lives and significantly improve the quality of life for those without reliable access to transportation.
Mcity’s innovative approach to assessing autonomous vehicle (AV) security is embodied in its two-pronged methodology, known as the Mcity Security Evaluation Program. The primary component assesses the core capabilities of autonomous vehicle systems in unusual scenarios involving infrequent or non-standard users.
The second scenario tests the software’s capabilities by simulating a diverse array of hazardous driving situations that are most commonly linked to collisions, accidents, and tragic fatalities.
Established in 2015, Mcity became the globe’s inaugural testing facility tailored specifically for autonomous vehicles. A $5.1 million grant from the National Science Foundation in 2022 enabled the University of Michigan to develop the next generation of its advanced driving technology’s digital infrastructure, known as Mcity 2.0.
