Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks

Author:

Strohbeck Jan1,Muller Johannes1,Herrmann Martin1,Buchholz Michael1

Affiliation:

1. Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,D-89081

Publisher

IEEE

Reference28 articles.

1. Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

2. Short-term motion prediction of traffic actors for autonomous driving using deep convolutional networks;djuric;ArXiv Preprint,2018

3. Temporally-continuous probabilistic prediction using polynomial trajectory parameterization;su;2021 IEEE/RSJ Int Conf on Intelligent Robots and Systems (IROS),2020

4. SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

5. Scalable Variational Gaussian Process Classification;hensman;Proc of the Eighteenth Int Conf on Artificial Intelligence and Statistics ser Proc of Machine Learning Research,2015

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1. Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Trajectory-prediction-based Dynamic Tracking of a UGV to a Moving Target under Multi-disturbed Conditions;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. A survey on Bayesian nonparametric learning for time series analysis;Frontiers in Signal Processing;2024-01-16

4. Self-Aware Trajectory Prediction for Safe Autonomous Driving;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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