Deep kernel learning for uncertainty estimation in multiple trajectory prediction networks

J Strohbeck, J Müller, M Herrmann… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Predicting future paths of vehicles or pedestrians is an essential task for automated vehicles
to allow for planning the own trajectory. Using predicted paths, a planning algorithm can, eg …
被引用次数：5 相关文章

Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks

J Strohbeck, J Müller, M Herrmann, M Buchholz - 2022 - oparu.uni-ulm.de
Predicting future paths of vehicles or pedestrians is an essential task for automated vehicles
to allow for planning the own trajectory. Using predicted paths, a planning algorithm can, eg …
[PDF] uni-ulm.de

[PDF][PDF] Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks

J Strohbeck, J Müller, M Herrmann, M Buchholz - 2022 - oparu.uni-ulm.de
Predicting future paths of vehicles or pedestrians is an essential task for automated vehicles
to allow for planning the own trajectory. Using predicted paths, a planning algorithm can, eg …