Michael Karg
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View article: PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control Open
Model predictive control (MPC) is a powerful, optimization-based approach for controlling dynamical systems. However, the computational complexity of online optimization can be problematic on embedded devices. Especially, when we need to g…
View article: Sensor Fusion for Semantic Place Labeling
Sensor Fusion for Semantic Place Labeling Open
In order to share knowledge about road situations vehicle-to-vehicle (V2V) communication is used. Autonomous driving vehicles are able to drive and park themself without driver interactions or presence, but are still inefficient about the …