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
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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 |