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The XPENG P7+ incorporates XPENG's visual-based ADAS advanced AI-defined smart driving solutions, offering expert driver-class handling even in challenging driving scenarios! #XPENGP7Plus #FutureMobility

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XPENG

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656,653 Aufrufe • vor 1 Jahr •via X (Twitter)

#XPENGP7Plus#FutureMobility
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23,226,897 Aufrufe • vor 11 Monaten

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The global fleet has now crossed 11 billion miles driven on FSD after reaching 10 billion just last month That means Tesla owners are collectively racking up 1 billion FSD miles every 37 days And it’s accelerating fast: - More European countries are approving FSD - The overall Tesla fleet keeps growing This is currently the most advanced vision-based AI driving system in the world FSD improves road safety by ~9x vs the average U.S. driver Autonomy is scaling at an insane pace The future of driving is here and it’s getting safer every single day

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TESLA LOYALTY—EVEN WHEN ELON HATERS COME KNOCKING Some buy cars for status. Others for speed. Mitchell Feldman wanted smart tech, sleek design, and top-tier safety—and Tesla delivered! Even after getting mocked in a parking lot for driving a Tesla, he’s still all in: • Smart Over Hype – Model Y brought touchscreen brains, AI driving, and top-tier crash protection. • Public Drama, Private Drive – He stayed cool. Performance and innovation still win. • Still Buying Another – While others slap sarcastic stickers, he’s already lining up for the next Model Y. Fans are driving with purpose, logic, and next-gen confidence! Source: Business Insider

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Woman uses DoorDash food delivery service but can’t communicate with the driver because they did not speak English. Since when did speaking the primary language become optional?? Whats even scarier is people driving and not being able to read the road signage which is all in English. 🫠 Follow: Based Jessica

Based Jessica

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Tesla’s FSD just hit 9.7+ billion cumulative miles Up from roughly 1 billion just two years ago This is currently the most advanced vision-based AI driving system in the world Now targeting unsupervised FSD at the 10 billion mile mark - expected late May to mid-June 2026 Cybercab / Robotaxi test fleet now at 582+ vehicles in live autonomous testing with ZERO incidents in the past 3+ months Tesla FSD (Supervised) improves road safety by ~9x vs the average U.S. driver

X Freeze

19,955 Aufrufe • vor 2 Monaten

PC AUTO, a known Chinese auto publication, recently reviewed intelligent driving systems from eight major brands: Huawei, BYD, XPeng, Zeekr, LI, Xiaomi, NIO and Tesla. In 2 scenarios where a tree is in the way, FSD is the only system that successfully drove around to stay the course. Every other system failed to proceed. For context, FSD is the only system that doesn’t use lidars. Looks like vision-based approach is superior and can solve edge cases which lidars may not.
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PC AUTO, a known Chinese auto publication, recently reviewed intelligent driving systems from eight major brands: Huawei, BYD, XPeng, Zeekr, LI, Xiaomi, NIO and Tesla. In 2 scenarios where a tree is in the way, FSD is the only system that successfully drove around to stay the course. Every other system failed to proceed. For context, FSD is the only system that doesn’t use lidars. Looks like vision-based approach is superior and can solve edge cases which lidars may not.

Ray

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Chinese influencer Li Chi flew from China to California for the sole purpose of experiencing Tesla FSD firsthand. Here are his impressions: “Flew 25,000 km — half the globe — just to personally experience Tesla’s smart driving and compare it with Huawei’s smart driving. I’ll skip the detailed process and go straight to the conclusion: Under normal weather and road conditions, Tesla’s vision-based routing is first-class. (I didn’t get a chance to test in foggy conditions.) In certain scenarios, Tesla outperforms Huawei. For example, when activating smart driving, Tesla can reverse to avoid a vehicle parked on the left, then go around it and rejoin the road ahead — quite impressive. Route selection capability is also top-tier. It doesn’t just follow conventional routes but can take shortcuts through residential roads. Acceleration is crisp and decisive, without hesitation… In short, Tesla FSD is improving very quickly. Physically removing the steering wheel would already present no real obstacles. I hope China will soon allow Tesla FSD to operate domestically, enabling earlier adoption of L3 and encouraging competition with local manufacturers.”
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Chinese influencer Li Chi flew from China to California for the sole purpose of experiencing Tesla FSD firsthand. Here are his impressions: “Flew 25,000 km — half the globe — just to personally experience Tesla’s smart driving and compare it with Huawei’s smart driving. I’ll skip the detailed process and go straight to the conclusion: Under normal weather and road conditions, Tesla’s vision-based routing is first-class. (I didn’t get a chance to test in foggy conditions.) In certain scenarios, Tesla outperforms Huawei. For example, when activating smart driving, Tesla can reverse to avoid a vehicle parked on the left, then go around it and rejoin the road ahead — quite impressive. Route selection capability is also top-tier. It doesn’t just follow conventional routes but can take shortcuts through residential roads. Acceleration is crisp and decisive, without hesitation… In short, Tesla FSD is improving very quickly. Physically removing the steering wheel would already present no real obstacles. I hope China will soon allow Tesla FSD to operate domestically, enabling earlier adoption of L3 and encouraging competition with local manufacturers.”

Ray

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Barely hours after the Telangana public bus wing, RTC employees went on strike for long pending unresolved issues & unfulfilled promises, the government thought it will be smart to hire anyone who can drive to run the buses. Just a while ago, an RTC bus rammed into a lorry injuring most passengers on board in Karimnagar. Reason: they got a private driver to ply on the road without even a conductor. So an inexperienced driver, is not only driving the bus but also cutting tickets while driving. Within no time, he rammed the bus into a lorry!
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Barely hours after the Telangana public bus wing, RTC employees went on strike for long pending unresolved issues & unfulfilled promises, the government thought it will be smart to hire anyone who can drive to run the buses. Just a while ago, an RTC bus rammed into a lorry injuring most passengers on board in Karimnagar. Reason: they got a private driver to ply on the road without even a conductor. So an inexperienced driver, is not only driving the bus but also cutting tickets while driving. Within no time, he rammed the bus into a lorry!

Revathi

97,120 Aufrufe • vor 2 Monaten

NEWS: Waymo has released a new blog post detailing their AI strategy and how it’s allowing them to bring service to more riders faster. "Achieving demonstrably safe AI — where safety is proven, not just promised — requires a holistic approach. Beyond a smart and capable Driver, you also need a closed-loop, realistic Simulator to train and rigorously test the Driver in a myriad of challenging situations, and a sharp Critic to evaluate the Driver's performance and identify areas for improvement." Waymo says that autonomous driving isn’t just a matter of building a “smart driver,” but rather creating a full AI ecosystem centered on safety from the ground up. At the core is the Waymo Foundation Model, a unified world-model that powers all major components of Waymo’s autonomous stack (Driver, Simulator, Critic). "By using a “Think Fast/Think Slow” architecture (combining rapid sensor-fusion with deep semantic reasoning), this system enables the car to detect complex and rare road scenarios (e.g. a burning vehicle ahead), reason about them, and choose safe behavior. Waymo trains large “Teacher” AI-models for driving, simulation, and evaluation, then distills them into smaller, efficient “Student” models suitable for real-world deployment, while keeping safety validation tightly integrated. The result is a continuous “flywheel” of learning: driving data (real and simulated) generate feedback, which leads to refinements, more simulation, more data, and only when safety checks pass is new code deployed. Having already exceeded 100 million fully autonomous miles, Waymo reports a more than ten-fold reduction in severe-injury crashes compared to human drivers." Full blog post:
1:33

NEWS: Waymo has released a new blog post detailing their AI strategy and how it’s allowing them to bring service to more riders faster. "Achieving demonstrably safe AI — where safety is proven, not just promised — requires a holistic approach. Beyond a smart and capable Driver, you also need a closed-loop, realistic Simulator to train and rigorously test the Driver in a myriad of challenging situations, and a sharp Critic to evaluate the Driver's performance and identify areas for improvement." Waymo says that autonomous driving isn’t just a matter of building a “smart driver,” but rather creating a full AI ecosystem centered on safety from the ground up. At the core is the Waymo Foundation Model, a unified world-model that powers all major components of Waymo’s autonomous stack (Driver, Simulator, Critic). "By using a “Think Fast/Think Slow” architecture (combining rapid sensor-fusion with deep semantic reasoning), this system enables the car to detect complex and rare road scenarios (e.g. a burning vehicle ahead), reason about them, and choose safe behavior. Waymo trains large “Teacher” AI-models for driving, simulation, and evaluation, then distills them into smaller, efficient “Student” models suitable for real-world deployment, while keeping safety validation tightly integrated. The result is a continuous “flywheel” of learning: driving data (real and simulated) generate feedback, which leads to refinements, more simulation, more data, and only when safety checks pass is new code deployed. Having already exceeded 100 million fully autonomous miles, Waymo reports a more than ten-fold reduction in severe-injury crashes compared to human drivers." Full blog post:

Sawyer Merritt

83,618 Aufrufe • vor 7 Monaten

Introducing Driver — a transformer-based, real-time, vision-only path prediction model for highway and urban driving. It predicts the vehicle’s future path using only camera-based perception—no Lidar, HD maps, or additional sensors required. We deployed it in closed-loop simulation with CARLA Simulator + GenSim-2, our generative AI model that re-renders realistic camera visuals. (top: original CARLA; bottom: GenSim-2 re-render). See more details in thread👇
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Introducing Driver — a transformer-based, real-time, vision-only path prediction model for highway and urban driving. It predicts the vehicle’s future path using only camera-based perception—no Lidar, HD maps, or additional sensors required. We deployed it in closed-loop simulation with CARLA Simulator + GenSim-2, our generative AI model that re-renders realistic camera visuals. (top: original CARLA; bottom: GenSim-2 re-render). See more details in thread👇

Helm.ai

4,040,913 Aufrufe • vor 1 Jahr