Machine Learning for Automated Driving
- 28 Downloads
Automated and autonomous driving are among the core topics of future mobility. In its innovation project "Park and Charge", Bertrandt shows how important environment recognition and precise trajectory planning using artificial intelligence are. Machine learning is used to improve localization, networking and cloud applications.
Current status of object detection
Autonomous driving functions are already available in some production models. They allow the car to fulfill the driver's role in a range of situations, but they must be able to take reliable decisions very quickly. As a result, the use of Artificial Intelligence (AI) and, in particular, of Machine Learning (ML) is essential. The decisions are made by pre-trained deep learning algorithms and the input consists of measurements from a variety of sensors, including camera, radar, and lidar systems. The main function of the algorithms is to reconstruct the car's environment using object recognition and to make this information...