RT Tesla Owners Silicon Valley (@teslaownersSV)My first ever Tesla Robotaxi drive@tesla @Tesla_AI @Tesla_Optimus@HansCNelson riding with me.The future is autonomous. https://t.co/kPLUYajsZG ...

My first ever Tesla Robotaxi drive@tesla @Tesla_AI @Tesla_Optimus@HansCNelson riding with me.The future is autonomous. https://t.co/kPLUYajsZG ...

Tesla robotaxi drive https://t.co/mQavfZp4SE ...

Core Viewpoint - The article emphasizes the growing importance of autonomous driving technology and highlights the availability of over 100 high-quality datasets for developers and researchers in the field. It introduces five key datasets that cover various tasks from perception to visual odometry, providing valuable resources for both beginners and experienced engineers [2]. Dataset Summaries 1. KITTI Dataset - The KITTI dataset is one of the most classic and widely used benchmark datasets in the autonomous driving field. It was collected in Karlsruhe, Germany, using high-precision sensors such as stereo color/gray cameras, Velodyne 3D LiDAR, and GPS/IMU. The dataset includes annotations for various perception tasks, including stereo vision, optical flow, visual odometry, and 3D object detection and tracking, making it a standard for evaluating vehicle vision algorithms [3]. 2. nuScenes Dataset - nuScenes is a large-scale multi-sensor dataset released by Motional, covering 1,000 continuous driving scenes in Boston and Singapore, totaling approximately 15 hours of data. It includes a full suite of sensors: six cameras, five millimeter-wave radars, one top-mounted LiDAR, and IMU/GPS. The dataset provides around 1.4 million high-resolution camera images and 390,000 LiDAR scans, annotated with 3D bounding boxes for 23 object categories, making it suitable for research on complex urban road scenarios [5][7]. 3. Waymo Open Dataset - The Waymo Open Dataset, released by Google Waymo, is one of the largest open data resources for autonomous driving. It consists of two main parts: a perception dataset with 2,030 scenes of high-resolution camera and LiDAR data, and a motion dataset with 103,354 vehicle trajectories and corresponding 3D map information. This extensive multi-sensor dataset covers various times, weather conditions, and urban environments, serving as a benchmark for target detection, tracking, and trajectory prediction research [10][12]. 4. PathTrack Dataset - PathTrack is a dataset focused on person tracking, containing over 15,000 trajectories across 720 sequences. It utilizes a re-trained existing person matching network, significantly reducing the classification error rate. The dataset is suitable for 2D/3D object detection, tracking, and trajectory prediction tasks [13][14][15]. 5. ApolloScape Dataset - ApolloScape, released by Baidu Apollo, is a massive autonomous driving dataset characterized by its large volume and high annotation accuracy. It reportedly exceeds similar datasets in size by over ten times, containing hundreds of thousands of high-resolution images with pixel-level semantic segmentation annotations. ApolloScape defines 26 different semantic categories and includes complex road scenarios, making it applicable for perception, map construction, and simulation training [17][19].

I just experienced an FSD ride on a narrow, one-lane dirt road with oncoming traffic, and FSD handled it flawlessly, safely pulling over to let the other car pass. It's truly incredible. ...

Group 1 - The core viewpoint of the report is that Citic Securities has initiated coverage on WeRide, the "first global Robotaxi stock," with a "buy" rating and a target price of $17, indicating significant upside potential from the current price of $7.72 [1][2][8] - WeRide is recognized as a leading autonomous driving company, holding licenses in five countries: China, France, the United States, the UAE, and Singapore, showcasing its competitive advantages [2][4] - The report emphasizes confidence in WeRide's autonomous driving technology, stating that the commercialization of Robotaxi is accelerating, with the domestic market expected to reach 600 billion yuan by 2030 [4][5] Group 2 - Since its establishment in 2017, WeRide has focused on the commercialization of autonomous driving, launching China's first publicly charged Robotaxi service in Guangzhou in 2019, and has expanded its operational network to eight cities across four countries [5][6] - Citic Securities predicts that Robotaxi will achieve faster growth in Europe and the U.S. due to higher pricing for human-driven taxis, which could enhance WeRide's profitability [5][6] - WeRide has deepened its collaboration with Uber, launching Robotaxi services in Abu Dhabi and Dubai, and plans to deploy Robotaxi in 15 cities across the Middle East and Europe over the next five years [5][6]

Core Insights - Waymo is expanding its autonomous vehicle services into more cities, including recent expansions in the San Francisco Bay Area and Los Angeles, with plans to test in New York City next month [1][3] Expansion of Services - Bay Area riders can now hail fully autonomous rides in Brisbane, South San Francisco, San Bruno, Millbrae, and Burlingame, with select access to Mountain View and parts of Palo Alto and Menlo Park [2] - In Los Angeles, the service area has expanded to over 120 square miles, including Playa del Rey, Ladera Heights, Echo Park, Silver Lake, and Mid-City to Inglewood [2][16] - Waymo plans to launch its service in Atlanta via Uber later this year, covering 65 square miles, and will also begin operations in Washington, DC, and Miami in 2026 [3][25][24] Partnerships and Collaborations - Waymo is expanding its partnership with Uber, allowing riders to hail Waymo vehicles through the Uber app in Austin and soon in Atlanta [20][18] - A collaboration with Toyota was announced to explore developing autonomous driving technology for personal vehicles [4] - Waymo is also partnering with Hyundai to integrate its sixth-generation technology into the Ioniq 5 SUVs, with testing expected to start by late 2025 [6][31] Manufacturing and Fleet Expansion - Waymo is opening a new 239,000-square-foot factory in Phoenix to add 2,000 fully autonomous Jaguar I-Pace vehicles to its fleet, which currently consists of 1,500 vehicles [5] - The factory's design will allow for the integration of upcoming sixth-generation self-driving technology into new vehicles [5] Safety and Performance Metrics - Waymo reports providing over 250,000 paid trips each week, with its autonomous technology showing 88% fewer crashes leading to serious injuries compared to average human drivers [7][8] - The company has driven over 71 million autonomous miles, reporting significantly fewer crashes involving pedestrians, cyclists, and motorcyclists [8] Future Developments - Waymo's sixth-generation self-driving technology aims to enhance vehicle capabilities, including better navigation in extreme weather [30] - The company is also testing fully autonomous rides on freeways in Phoenix and plans to expand these capabilities to everyday riders soon [31][32]

Group 1 - Waymo has applied for a permit to test its autonomous vehicles in New York City with a human driver behind the wheel, marking a significant step in its plans to serve New Yorkers in the future [2][3] - The company is advocating for changes to state law to enable the launch of its fully autonomous ride-hailing service in New York City, as current regulations do not support commercially operated autonomous vehicles [2][5] - Waymo currently operates fully autonomous robotaxis in several cities including Los Angeles, Austin, Phoenix, and San Francisco, with plans to expand to Atlanta, Miami, and Washington in the coming years [4] Group 2 - The permit application will allow Waymo to operate its vehicles autonomously in New York City while collecting mapping data and evaluating its technology with a human driver present [3] - In January, Waymo announced plans to test its autonomous vehicles in 10 new cities by 2025, which will help the company understand how its vehicles adapt to various traffic patterns and environmental conditions [6]

Core Insights - Waymo has applied for a permit to test its autonomous vehicles in New York City, marking its initial step in a complex regulatory process to introduce robotaxis in the largest U.S. city [1][2] Regulatory Environment - The permit application is with the New York City Department of Transportation to operate self-driving Jaguar I-Pace vehicles with a human safety operator present in Manhattan [2] - New York's regulations require a human driver to be able to take control, a $5 million insurance policy, and adequate training for test vehicle operators [2][3] - Current New York law is particularly restrictive regarding autonomous vehicles, making it challenging for Waymo to launch commercial operations or conduct tests without a human operator [3] Advocacy and Future Plans - Waymo is actively advocating for changes in state law to allow for the operation of vehicles without a human driver [4][5] - The company is engaging with various organizations to build goodwill in New York City and the state [4] - Positive discussions with lawmakers have occurred, with the aim of modifying the legal requirement that mandates a human must have at least one hand on the steering mechanism at all times [5] Market Potential - Waymo has been interested in the New York City market for several years, previously deploying Chrysler Pacifica minivans for mapping and manual driving in Manhattan [7] - The company has successfully scaled its operations in other U.S. markets, providing over 250,000 fully autonomous paid trips weekly in cities like Austin, Los Angeles, Phoenix, and San Francisco [10]

Core Insights - Zoox is set to launch its commercial robotaxi service late this year, following significant investment and development efforts over the past 11 years [3][5] - The company aims to differentiate itself from competitors like Waymo and Tesla by offering a unique ride experience with a custom-designed vehicle that has no steering wheel or pedals [4][10] - Zoox plans to operate in multiple cities, starting with Las Vegas, and aims to produce 5,000 robotaxis annually, scaling up to 10,000 as demand increases [5][6] Company Overview - Zoox is a subsidiary of Amazon, focusing on developing a fully autonomous robotaxi service with a unique vehicle design [2][3] - The company has invested billions into its Hayward, California factory, which is designed to ramp up production significantly in the coming years [5][6] - The robotaxi features advanced technology, including multiple sensors for enhanced safety, contrasting with Tesla's more cost-effective approach [7][10] Industry Context - The competition in the autonomous vehicle market is intensifying, with Waymo expanding its services and Tesla launching pilot programs [2][9] - Zoox's approach to autonomous driving is more aligned with Waymo, utilizing a comprehensive sensor array for safety, while Tesla relies on fewer sensors [7][10] - The autonomous vehicle sector is under scrutiny, particularly regarding safety, as seen with Tesla's investigations related to its Autopilot features [9][10]