Recently, a new generation of Robotaxi models equipped with Pony.ai’s sixth-generation autonomous driving hardware system took the lead in public road testing in Beijing’s Yizhuang high-level autonomous driving demonstration zone. This batch of vehicles is based on the Toyota Senna Autono-Maas (S-AM) model and has accumulated more than 50,000 kilometers of road testing.
Thanks to the open support policy of the demonstration zone, this batch of vehicles is expected to soon enter unmanned road testing, covering 60 square kilometers in the core area of Yizhuang and during busy periods such as morning peak hours. Subsequently, it will be used by residents of the demonstration zone. Provide unmanned Robotaxi autonomous driving travel services.
At the same time, this batch of vehicles also participated in the standard test verification activity of "Test Methods and Requirements for Unmanned Test Sites for Intelligent Connected Vehicles in Urban Road Scenes" organized by the China Society of Automotive Engineers on April 12, and passed with excellent performance It has conducted 10 basic ability and escape ability tests, 3 fault handling ability tests, and 4 network security tests, and fully passed the technical test of this standard for "no driver in the car".
This generation of system makes the appearance of the vehicle closer to that of ordinary mass-produced models. The sensor suite uses automotive-grade mass-produced components with more stable performance and lower cost, including 4 solid-state lidars and 3 blind fillers. Lidar, 3 millimeter wave radars, and 11 cameras. Compared with the previous generation of autonomous driving sensor kits, the size and weight are greatly reduced, the level of integration is higher, and the design is lighter and more beautiful. In addition, through the self-developed sensor cleaning system, the vehicle's performance in various complex and extreme weather conditions such as rain, snow, fog, sand and dust has also been greatly improved.
To ensure security, Pony.ai uses a multi-layer redundancy mechanism. In the event of a rare abnormality in the main system, the vehicle can enter a state of minimum risk through slow braking, pulling over, emergency braking, etc., and wait for subsequent commands or rescue personnel to take over the vehicle. In addition to the above redundant design at the system level, the hardware level and each sub-module of the software are also equipped with redundancy.
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Editor: Zhao Yu