| Electric vehicle | PWe8.17 |
| Acceleration | 0-100km / h: approx. 2.2 sec |
| Battery container | 7.5kWh and 579V maximum voltage |
| All-wheel drive | 4x27kW |
| Control unit | “ETAS ES910” real-time control device |
| Software | Comprehensive driving dynamics software |
PWd4.20
| Brakes | Pneumatically reset gas spring brake system |
| Steering system | Compact steering system consisting of a DC motor and planetary gear |
| Camera | Two stereo camera arrays for object recognition and depth determination
|
| Acceleration and speed sensors | Acceleration and speed sensors merged with an inertial navigation system (INS) |
| Graphics Processing | NVIDIA Jetson AGX Xavier |
| Environment recognition | Object recognition through deep learning algorithm |
| Mapping / Localization | In-house developed C ++ stack – from image to steering movement. Mapping, clustering, stereo matching, triangulation, Delauney etc. |
| Toolchain | Extensive toolchain: C ++, ROS, Python, Matlab, IPG Carmaker, Docker, Catia V5 |
| Trajectory planning | Trajectory planning using model-based reinforcement learning; the car learns the fastest pat |
