Automated Driving System
Plan, deploy, and maintain autonomous driving low-speed vehicles and fleet management system in confined area. Operators can set routes, schedule and dispatch vehicles to customize their mobility services.
Learn It the Hard Way
Since 2018, the technologies have been developed and tested on 5 vehicle types, by 27 autonomous driving vehicles, across 10 sites, traveling over 33,500 kms. We have overcome 3 terrains like urban canyon and golf course, managing operational design domains from amusement park to open street, including testing in Taiwan CAR Labs with TÜV Rheinland certification.
5 vehicle types
across 10 sites
traveling over 33,500
- Drivable area detection
- Sensor fusion
- Traffic-sign recognition
- 3D object detection
- Active collision avoidance system
- Positioning and planning
Identify drivable area through visual recognition.
Obtain the precise coordinates of obstacles in 3D space by combining LiDAR point cloud and visual data.
Execute signal detection system to correctly recognize traffic lane signals and assist vehicle when in motion.
Determines the dimensions of objects (e.g. length, width, height), and accurately detects their locations.
Integrates obstacle detection and vehicle route planning systems to prevent collisions between vehicles and surroundings to ensure the safety of passengers and pedestrians.
Route planning can be rendered through high precision maps and positioning technology.