LA /May 8, 2024 /rFpro -- #rFpro has developed a highly-accurate digital model of an expansive network of roads in Los Angeles, California, to support the development of autonomous vehicles (#AV) and automated driving technologies. The virtual environment enables engineers to conduct extensive representative testing of AVs in simulation before progressing to the public road. The Los Angeles model features a vast 36km loop, making it the largest public road model developed by rFpro to date. It is navigable in both directions and offers engineers an extensive real-world-based environment for conducting comprehensive testing. Capturing the intricate layout of Los Angeles’ roads, the model includes diverse configurations, such as highways, split-dual carriageways, and single carriageway sections.
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It is challenging to create novel, high-definition road networks for testing autonomous vehicles. This recent paper describes JunctionArt, a system which procedurally generates road networks with complex intersections. Generated intersections are complex, with unusual shapes. Work performed with my students Muktadir, Jawad, Ishaan and Ford Research collaborator Aleksey.
Don't miss this Open Access article available from the special issue of SAE International Journal of Connected and Automated Vehicles, mentioned yesterday: "Procedural Generation of High-Definition Road Networks for Autonomous Vehicle Testing and Traffic Simulations," by Golam Md Muktadir, Abdul Jawad, Ishaan Paranjape, Jim Whitehead (University of California, Santa Cruz), and Aleksey Shepelev (Ford Motor Company). The complete special issue is here: https://lnkd.in/eNMsGHXr #autonomousvehicles #vehicletesting #traffic
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🚗 Exciting News! Our team has just released a groundbreaking study on the job creation potential of Autonomous Vehicles (AVs). 🚗 Here are some key findings: 👷♂️ For every 1,000 autonomous vehicles produced and deployed annually, approximately 190 workers will be needed for manufacturing and servicing these vehicles. 🏭 AV-related jobs will be high-paying and accessible to workers without a college degree, with 82% of AV workers overall and 59% of those without a college degree earning more than the U.S. median wage. 📍 These jobs will be located across the country, but some states are better positioned to take advantage of AV development than others. We're thrilled about these findings and can't wait to see how AVs will shape the future of work.
Today we're out with new research forecasting autonomous vehicle deployment and jobs in the US. Our new study examines how many jobs AVs will create, in what sectors AVs will be deployed first, and which states benefit most. Check out the full paper: https://lnkd.in/eG_kc_kM
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Interesting and insightful #autonomousvehicle research published by the Chamber of Progress and Fourth Economy today. They modeled U.S. workforce impact scenarios over the next 15 years, for utilization in taxi, personal car ownership, trucking, etc., which were informed by investments the industry is already making. A few takeaways stood out to me: "For every 1,000 AVs produced and deployed annually, approximately 190 workers will be needed for manufacturing and servicing these vehicles." "In a moderate economic scenario, the report anticipates deployment of 9 million autonomous vehicles over the next 15 years, with 114,000 jobs created." "AV industry jobs typically pay above U.S. median wage. Analysis shows that 82 percent of AV workers make more than the US median wage." "AVs can support the resiliency of the US auto industry where it is strong today and create new centers for AV-related jobs in places with strong tech sectors." "To take advantage of AV economic and job opportunities, the US must encourage further technology development, increase capital investment, and establish a favorable regulatory framework."
Today we're out with new research forecasting autonomous vehicle deployment and jobs in the US. Our new study examines how many jobs AVs will create, in what sectors AVs will be deployed first, and which states benefit most. Check out the full paper: https://lnkd.in/eG_kc_kM
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Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://bit.ly/465PAp4
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Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://bit.ly/3yfCR6V
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Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://bit.ly/4fa34EI
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Senior System Software Engineer (Autonomous Vehicles) at NVIDIA Graphics Pvt. Ltd., Pune. | Ex. J P Morgan Chase & Co. | BITS Pilani Alumnus
Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://bit.ly/3Yth9XD
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Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://dy.si/MVUmK
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Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://dy.si/or7SMT2
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Creating Jaywalkers for Self-Driving Cars | Driving Young Scientists | Entrepreneur by Nature | Leader by Heart | Applied ML Scientist | Innovating Recipes | Coaching Little Soccer Stars | Creating Rock Music
I am happy to be a part of the JunctionArt team (Jawad Efaj, Ishaan Paranjape, Jim Whitehead, and Ford Research collaborator Aleksey). This is our journal paper on how complex urban roads can be procedurally generated without depending on data. The generated roads have complex intersections with usual and unusual shapes. Large-scale connected city roads can be generated with great diversity in shapes and lanes. #autonomousdriving #roadgeneration #proceduralcontentgeneration #PCG
Don't miss this Open Access article available from the special issue of SAE International Journal of Connected and Automated Vehicles, mentioned yesterday: "Procedural Generation of High-Definition Road Networks for Autonomous Vehicle Testing and Traffic Simulations," by Golam Md Muktadir, Abdul Jawad, Ishaan Paranjape, Jim Whitehead (University of California, Santa Cruz), and Aleksey Shepelev (Ford Motor Company). The complete special issue is here: https://lnkd.in/eNMsGHXr #autonomousvehicles #vehicletesting #traffic
