Tokyo, September 2, 2021

東京、2021年9月2日

Perception Engine and Hesai join forces to distribute LiDAR sensors and license autonomous driving solutions optimized for sensors in Japan
パーセプションエンジン、Hesai社製LiDARセンサーの日本国内での販売取り扱いおよびHesai製品に最適化した自動運転ソフトウェアライセンスの提供を開始
Hesai
Perception Engine

Aichi, May 31, 2021

愛知県、2021年5月31日

Nagoya University (NU), Aichi prefecture and Perception Engine(PE) successfully completed its initial V2X perception experiment inside Morikoro Park. The experiment aimed to demonstrate the capabilities of perception nodes installed directly on infrastructure. In this case, PE installed a LiDAR Sensor, a camera, and a perception ECU on a utility pole, in a strategic position selected by NU. Nagoya University (NU), Aichi prefecture and Perception Engine(PE) successfully completed its initial V2X perception experiment inside Morikoro Park. The experiment aimed to demonstrate the capabilities of perception nodes installed directly on infrastructure. In this case, PE installed a LiDAR Sensor, a camera, and a perception ECU on a utility pole, in a strategic position selected by NU.
PE's Atomic Engine identifies the obstacles around the pole, converts them to a global coordinate system, and shares the information to the surrounding autonomous vehicles wirelessly, which are running TierIV's Autoware, a full stack open-source autonomous driving system. PE's Atomic Engine identifies the obstacles around the pole, converts them to a global coordinate system, and shares the information to the surrounding autonomous vehicles wirelessly, which are running TierIV's Autoware, a full stack open-source autonomous driving system.
During the experiment, PE also tested image-based human pose estimation, its fusion and integration with 3D LiDAR data. During the experiment, PE also tested image-based human pose estimation, its fusion and integration with 3D LiDAR data.
Using a single pole, the smart-pole successfully shared the perception information with the autonomous vehicle, even when this was out of the line of sight. Using a single pole, the smart-pole successfully shared the perception information with the autonomous vehicle, even when this was out of the line of sight.