New Challenges for Deep Neural Networks in Automotive Radar Perception
High-Resolution Neural Style Transfer for Test Data Generation for ADAS/HAD Functions
High-Resolution Gated Depth Estimation for Self-Driving Cars in AdverseWeather
Highly Parameterizable and Generic Perception Sensor Model Architecture
Emergency braking in a city bus - a new approach for protecting standing passengers
Clouds Ahead – The Transformation of Vehicle Development and Data Management Processes