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Explore Vehicle Dynamics 🏎️ Simulate longitudinal and lateral dynamics for autonomous vehicles and race cars 🌧️ Analyze the impact of dry and wet surfaces on vehicle motion 📈 Build models with Vehicle Dynamics Blockset 🔗 Watch the video to learn more:

MATLAB

105,414 subscribers

11,830 views • 1 year ago •via X (Twitter)

Science & Technology Education Autos & Vehicles

Anya Rossi• Live Now

Private livecam show

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Redeemer1 year ago

Can a space craft be simulated here?

Yang1 year ago

Want to learn how practical AI skills and automations for your business and work? Check out our 50+ step-by-step video tutorials 100% FREE 20+ hours of Ai and Automation goodness absolutely free 🥳

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With over 40 vehicles, 70+ gadgets, and 100+ vehicle parts & decals, there are thousands of ways to customize and tune your vehicle. Strategize, build, and race your way to victory in Sonic Racing: CrossWorlds! Pre-order Sonic Racing: CrossWorlds now:

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We submitted the final proposal for the next phase of NASA’s Lunar Terrain Vehicle Services (LTVS) contract, to build, fly, and operate the Intuitive Machines-led Moon RACER vehicle on the Moon. NASA is expected to announce the LTV delivery and demonstration award by the end of 2025. Learn more:

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NVIDIA open models provide the foundation to innovate across agentic AI, robotics, autonomous vehicles, and research. 🤖 This release contributes 10 trillion language tokens, 500,000 robotics trajectories, and 100 terabytes of vehicle sensor data to the community. These frameworks are designed to significantly accelerate specialized AI development and discovery. Learn more:

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As AI moves into the physical world, safety must be the top priority. Leaders from Zoox, Aurora, Boston Dynamics, ANSI and NVIDIA discuss the innovations and safety practices shaping the next generation of autonomous vehicles and robotics. 🎥 Watch the full panel on-demand:

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NVIDIA DRIVE

12,446 views • 10 months ago

Autonomous driving through tight, dynamic, stochastic, and adversarial traffic-dynamics on sub-urban roads in India, as well as through partially unstructured environments. This demos showcases the robustness of our motion planning and decision making algorithmic frameworks in enabling #autonomousdriving through seamlessly through such traffic and environmental scenarios. The vehicle starts from a generic open environment at the temple, where there are no traffic-rules to abide by. It then exits the region and assumes a generic autonomous navigation behaviour, negotiating complex traffic scenes. At various points it can be seen that the other vehicles (bikes, autos, bicyclists, and cars) didn't abide by any traffic-rule and moved in crisscross fashion, presenting adversarial scenarios, challenging our autonomous vehicle at Swaayatt Robots to take care of the collision avoidance. This classical motion planning and decision making algorithmic framework is being further scaled up with deep #reinforcementlearning, which will practically solve the sub-urban traffic-dynamics and environment negotiation for #autonomousvehicles in India and throughout the world as well. This demo was done at the Kankali Kali Mata mandir in the city of Bhopal. This demo was a culmination of our prior works and demos: off-roads, on-roads, bidirectional traffic negotiation in single lane roads, and toll-plaza navigation. We have taken up the arduous task of solving the Level-4 autonomous driving by the end of 2024, globally. #machinelearning #deeplearning

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Sanjeev Sharma

186,291 views • 2 years ago

Autonomous vehicle learning to dodge traffic, performing stochastic adversarial negotiation. On 27th August we had representatives from the Suzuki Motor Corporation's autonomous department, Genki Maeda (Department Manager, AD Platform Development), Karachi Nobunari (Department General Manager, Advance Technology Development Department) and Ronit Kumar (Suzuki Innovation Center) visit us to test our #autonomousdriving technology. This was a high-stakes demo, where we asked our engineering team (including the founder, Sanjeev Sharma) to ride two wheeler and to cut the path of our autonomous vehicle at random / at will, in a live demo, creating an adversarial scenario, where it is the sole responsibility of our autonomous vehicle to dodge obstacles and prevent accidents. Over the years, we have been building autonomous driving technology to enable negotiation of adversarial-complex-stochastic traffic dynamics. This demo is only a short trailer of what is being developed and what is going to come next. We made the vehicle first negotiate randomly placed static vehicles, bikes and cones on the road. Then in the next section of the road, our engineering team started cutting the path of autonomous vehicle at random, and let it take care of obstacles avoidance and negotiation, balancing aggressiveness and passivity. These algorithmic frameworks are being scaled up to achieve Level-4 and Level-5 autonomous driving, in the most complex of traffic situations imaginable in the world for #autonomousvehicles, i.e., Indian traffic on Indian roads, to conquer this space globally. The speed of the vehicle was kept low in this demo, keeping in mind the safety of the guests. The core motion planning and decision making algorithm in the demo utilized one #reinforcementlearning agent. There is going to be another demo on similar lines next week, on an extended stretch of a road. #deeplearning #India

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Swaayatt Robots

22,375 views • 1 year ago

Where is the vehicle stability? Stray cattle on Indian roads are undoubtedly a major safety hazard, and the blinding white LED headlights used by many vehicles only make night driving even more dangerous by reflecting glare into the eyes of oncoming drivers. But what is equally shocking is how this Scorpio N rolled over. The lack of stability is deeply concerning. A vehicle of this size and price should inspire confidence in emergency situations, not raise questions about its dynamics.

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At WASEDA University, students use Simulink and RoadRunner to recreate real Tokyo roads from GPS and traffic data, then simulate hybrid vehicle behavior to study fuel economy before physical testing →

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24,551 views • 5 months ago

What if $UBER doubles down on Autonomous Vehicles and buys $RIVN to focus on making the Rivian R2 (a $45K vehicle) Uber's autonomous offering? This is the type of move that dara khosrowshahi could pull off and get WAYYYY ahead of $TSLA.

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Pimpri RTO Acts Against Vehicle Owner After Viral Mumbai-Pune Expressway Video, Imposes Rs 4500 Fine Pune, September 9: The Pimpri-Chinchwad Regional Transport Office (RTO) has taken action against the owner of a vehicle after a video showing the vehicle on the Mumbai-Pune Expressway went viral on social media. Following the circulation of the video, RTO officials visited the vehicle owner's permanent address and conducted an inspection of the vehicle. According to the RTO, the vehicle bearing registration number had a clearly visible rear registration number at the toll plaza. However, while the vehicle was being driven on the expressway, a device installed on the vehicle was allegedly being used to deliberately conceal the rear registration number, apparently to avoid detection through the e-challan system. The RTO initiated proceedings against the vehicle under Sections 41, 52, 177, 182A and 179 of the Motor Vehicles Act, 1988. A total fine of ₹4,500 was recovered from the vehicle owner. The device used to conceal the registration number was also removed from the vehicle in the presence of officials from Flying Squad No. 5 of the Pimpri-Chinchwad RTO. The action was carried out by Motor Vehicle Inspector Vishal Thorat and Assistant Motor Vehicle Inspector Srinivas Shinde. The RTO said the action followed the viral social media video and the subsequent inspection of the vehicle.

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Pune Pulse

47,119 views • 14 days ago

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$TSLA Model 3 is the only vehicle that has passed a drill-and-crash truck test, and it's getting a lot of safety attention in China. Watch the new video I just uploaded, and compare the vehicles. Other cars aren't even protected by the A-pillar in the first place. We have to choose the safest vehicle for our family. (Model Y does not participate in the test)

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Tsla Chan

3,288,568 views • 1 year ago

WPP, the world's largest advertising company, is collaborating with NVIDIA, Boston Dynamics, and Canon to explore robotic-assisted cinematography and virtual ad production. Here are some cool shots of Atlas on the set.

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168,605 views • 1 year ago