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BYD, the world’s largest EV maker headquartered in Shenzhen, has launched large-scale pre-production testing of its L3 autonomous driving system on city roads. So far, the system has completed over 150,000 kilometers of real-world testing on Shenzhen roads, covering highways, as well as night driving, rain, and construction zones.... show more

Shenzhen Channel

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30,179 次观看 • 6 个月前 •via X (Twitter)

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NEWS: BYD has unveiled an advanced driver-assist system called "God's Eye" that it plans to install on its entire model line-up including its $9,600 Seagull hatchback. "BYD wants to democratize self-driving tech. BYD had previously only offered such features, which enable cars to navigate highway traffic autonomously under human drivers' supervision, in models priced from $30,000." “God’s Eye was developed in-house by BYD and will equip the automaker’s mass-market models with features commonly only found on upscale EVs such as remote parking via smartphones and autonomous overtaking on roads."

NEWS: BYD has unveiled an advanced driver-assist system called "God's Eye" that it plans to install on its entire model line-up including its $9,600 Seagull hatchback. "BYD wants to democratize self-driving tech. BYD had previously only offered such features, which enable cars to navigate highway traffic autonomously under human drivers' supervision, in models priced from $30,000." “God’s Eye was developed in-house by BYD and will equip the automaker’s mass-market models with features commonly only found on upscale EVs such as remote parking via smartphones and autonomous overtaking on roads."

Sawyer Merritt

651,713 次观看 • 1 年前

1/4 Riding in a BYD car to DJI's flagship store in Shenzhen, Taiwan influencer "馆长" was deeply impressed by cutting-edge technologies such as autonomous driving & drones in the mainland, exclaiming, "Amazing! Taiwan really needs to learn and catch up."

1/4 Riding in a BYD car to DJI's flagship store in Shenzhen, Taiwan influencer "馆长" was deeply impressed by cutting-edge technologies such as autonomous driving & drones in the mainland, exclaiming, "Amazing! Taiwan really needs to learn and catch up."

momo看世界

38,886 次观看 • 10 个月前

NEWS: Hyundai's self-driving unit 42dot has released a new video showing off its end-to-end autonomous driving software on the roads of South Korea, and parking. "It drives using only eight cameras mounted on the vehicle, without relying on an HD maps. It utilizes a 400 TOPS-class NPU to implement the NOA (Navigation on Autopilot) function on highways and in urban areas."

NEWS: Hyundai's self-driving unit 42dot has released a new video showing off its end-to-end autonomous driving software on the roads of South Korea, and parking. "It drives using only eight cameras mounted on the vehicle, without relying on an HD maps. It utilizes a 400 TOPS-class NPU to implement the NOA (Navigation on Autopilot) function on highways and in urban areas."

Sawyer Merritt

506,185 次观看 • 7 个月前

This is NVIDIA DRIVE AV Level 2++ autonomous driving in action on the streets of San Francisco. Ride along with Sarah Tariq, VP of Autonomous Driving Software at NVIDIA, as the stack navigates real-world urban complexity—from double-parked cars to unprotected left turns. 🎥 Watch the video:

This is NVIDIA DRIVE AV Level 2++ autonomous driving in action on the streets of San Francisco. Ride along with Sarah Tariq, VP of Autonomous Driving Software at NVIDIA, as the stack navigates real-world urban complexity—from double-parked cars to unprotected left turns. 🎥 Watch the video:

NVIDIA DRIVE

14,965 次观看 • 6 个月前

Presenting autonomous driving in complex, stochastic and adversarial traffic-dynamics, on the roads in #India. Over the course of last year, we enabled #autonomousdriving in conditions and in situations no one in the autonomous driving industry considered was possible, and in a country like India, where the contemporary belief was that #autonomousvehicles are an impossibility. With the closure of 2023, we present autonomous driving at a very large scale, in the city of Bhopal in India. In this demo our autonomous vehicle at Swaayatt Robots can be seen negotiating the surrounding traffic with ease, where it had to deal with their stochastic and adversarial driving patterns, like suddenly switching lanes and appearing all of a sudden in our vehicle's current driving lane, without adherence to the traffic rules. This demo was a culmination of the cutting-edge research we have been doing, and the technologies we have been developing, over the years, which we showcased throughout in our demos in 2023 -- campus autonomous driving (February), off-roads autonomous driving (April and September), tight-stochastic traffic negotiation (August and September), bidirectional traffic negotiation on a single lane road (October), large-scale city level demo (November), and Toll-Plaza negotiation (December). In 2024, we will scale our technology commercially, and bring it to North America and Europe, to topple this trillion dollar industry, and will also scale our technology throughout India. Wishing everyone a very Happy New Year! #deeplearning #reinforcementlearning #MachineLearning Elon Musk PMO India Narendra Modi Nitin Gadkari DARPA DRDO

Presenting autonomous driving in complex, stochastic and adversarial traffic-dynamics, on the roads in #India. Over the course of last year, we enabled #autonomousdriving in conditions and in situations no one in the autonomous driving industry considered was possible, and in a country like India, where the contemporary belief was that #autonomousvehicles are an impossibility. With the closure of 2023, we present autonomous driving at a very large scale, in the city of Bhopal in India. In this demo our autonomous vehicle at Swaayatt Robots can be seen negotiating the surrounding traffic with ease, where it had to deal with their stochastic and adversarial driving patterns, like suddenly switching lanes and appearing all of a sudden in our vehicle's current driving lane, without adherence to the traffic rules. This demo was a culmination of the cutting-edge research we have been doing, and the technologies we have been developing, over the years, which we showcased throughout in our demos in 2023 -- campus autonomous driving (February), off-roads autonomous driving (April and September), tight-stochastic traffic negotiation (August and September), bidirectional traffic negotiation on a single lane road (October), large-scale city level demo (November), and Toll-Plaza negotiation (December). In 2024, we will scale our technology commercially, and bring it to North America and Europe, to topple this trillion dollar industry, and will also scale our technology throughout India. Wishing everyone a very Happy New Year! #deeplearning #reinforcementlearning #MachineLearning Elon Musk PMO India Narendra Modi Nitin Gadkari DARPA DRDO

Sanjeev Sharma

95,669 次观看 • 2 年前

Enabling autonomous vehicles perceive their environment using only off-the-shelf cameras has been a long term research objective at Swaayatt Robots. This demo highlights the capabilities of our on-road perception system which is able to detect obstacles, road boundaries, lane markers in images, as well as compute depth of the complex scenes in the environment. The output shown in this video is end-to-end raw output from our deep learning system, without any post processing. The current system, with joint computation of obstacles, lane/road boundaries, and depth, works at 30 FPS on an embedded GPU in our autonomous vehicle, and can achieve higher FPS with further optimization -- which is currently a research in progress. This system is being scaled up for both the day and night operations, and we will showcase its strength towards enabling autonomous driving on a mountainous environment with unpaved roads, in the absence of any delimiters. #deeplearning #autonomousdriving #autonomousvehicles #machinelearning

Enabling autonomous vehicles perceive their environment using only off-the-shelf cameras has been a long term research objective at Swaayatt Robots. This demo highlights the capabilities of our on-road perception system which is able to detect obstacles, road boundaries, lane markers in images, as well as compute depth of the complex scenes in the environment. The output shown in this video is end-to-end raw output from our deep learning system, without any post processing. The current system, with joint computation of obstacles, lane/road boundaries, and depth, works at 30 FPS on an embedded GPU in our autonomous vehicle, and can achieve higher FPS with further optimization -- which is currently a research in progress. This system is being scaled up for both the day and night operations, and we will showcase its strength towards enabling autonomous driving on a mountainous environment with unpaved roads, in the absence of any delimiters. #deeplearning #autonomousdriving #autonomousvehicles #machinelearning

Sanjeev Sharma

18,478 次观看 • 1 年前

World Cup on the big screen... while the car does the driving Passengers chilling in a Tesla, watching live World Cup action over Starlink as the car handles the road. This is the future of in-car entertainment: high-speed internet + autonomous driving = next level.

World Cup on the big screen... while the car does the driving Passengers chilling in a Tesla, watching live World Cup action over Starlink as the car handles the road. This is the future of in-car entertainment: high-speed internet + autonomous driving = next level.

Mario Nawfal

49,042 次观看 • 8 天前

This year marks the 45th anniversary of the establishment of the Shenzhen Special Economic Zone. As Shenzhen's industrial and innovation powerhouse, Nanshan District has created an industrial ecosystem driving continuous breakthroughs in hardware innovation

This year marks the 45th anniversary of the establishment of the Shenzhen Special Economic Zone. As Shenzhen's industrial and innovation powerhouse, Nanshan District has created an industrial ecosystem driving continuous breakthroughs in hardware innovation

China Xinhua Sci-Tech

90,107 次观看 • 7 个月前

At #CES2026, we spoke with Kai Stepper, VP of ADAS and Autonomous Driving at Lucid Motors, about their production-intent robotaxi built on the NVIDIA DRIVE Hyperion platform. He also shared why Alpamayo’s open, reasoning-based approach is an important step forward for the future of autonomous driving.

At #CES2026, we spoke with Kai Stepper, VP of ADAS and Autonomous Driving at Lucid Motors, about their production-intent robotaxi built on the NVIDIA DRIVE Hyperion platform. He also shared why Alpamayo’s open, reasoning-based approach is an important step forward for the future of autonomous driving.

NVIDIA DRIVE

13,516 次观看 • 5 个月前

🚨NEWS: HYUNDAI MOTOR GROUP TO ADOPT $TSLA-LIKE FSD APPROACH TO ACCELERATE AUTONOMOUS DRIVING • Hyundai Motor Group is actively incorporating an “End-to-End (E2E)” autonomous driving approach similar to Tesla’s FSD (Full Self-Driving). • The company plans to combine this data-driven E2E method with its existing LiDAR-based technology (Motional) for greater synergy. ✅ Key Strategy • Presented E2E autonomous driving technology internalization as a new direction at the Kia CEO Investor Day. • Direction set after the appointment of Park Min-woo (former Tesla AVP head) as CEO of 42dot. ✅ Development Goals • Level 2+ on highways by the end of 2027 • Level 2++ capable of driving in urban environments by 2029 ✅ Organizational Expansion • 42dot workforce increased 38.6% year-over-year to 876 employees as of end of last year. • Hyundai Autoever is responsible for developing digital twin-based autonomous driving maps.

🚨NEWS: HYUNDAI MOTOR GROUP TO ADOPT $TSLA-LIKE FSD APPROACH TO ACCELERATE AUTONOMOUS DRIVING • Hyundai Motor Group is actively incorporating an “End-to-End (E2E)” autonomous driving approach similar to Tesla’s FSD (Full Self-Driving). • The company plans to combine this data-driven E2E method with its existing LiDAR-based technology (Motional) for greater synergy. ✅ Key Strategy • Presented E2E autonomous driving technology internalization as a new direction at the Kia CEO Investor Day. • Direction set after the appointment of Park Min-woo (former Tesla AVP head) as CEO of 42dot. ✅ Development Goals • Level 2+ on highways by the end of 2027 • Level 2++ capable of driving in urban environments by 2029 ✅ Organizational Expansion • 42dot workforce increased 38.6% year-over-year to 876 employees as of end of last year. • Hyundai Autoever is responsible for developing digital twin-based autonomous driving maps.

Tsla Archive

23,202 次观看 • 2 个月前

Roads of the world: What appears completely normal driving standards in some countries is arrestable in others... Which country has the worst roads? 🤔

Roads of the world: What appears completely normal driving standards in some countries is arrestable in others... Which country has the worst roads? 🤔

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4,650,471 次观看 • 2 年前