Predictionnet: Real-time joint probabilistic traffic prediction for planning, control, and simulation

A Kamenev, L Wang, OB Bohan… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Predicting the future motion of traffic agents is crucial for safe and efficient autonomous
driving. To this end, we present PredictionNet, a deep neural network (DNN) that predicts …
被引用次数：45 相关文章

PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation

A Kamenev, L Wang, O Boer Bohan, I Kulkarni… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Predicting the future motion of traffic agents is crucial for safe and efficient autonomous
driving. To this end, we present PredictionNet, a deep neural network (DNN) that predicts …

PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation

A Kamenev, L Wang, OB Bohan, I Kulkarni… - 2022 IEEE International …, 2022 - dl.acm.org
Predicting the future motion of traffic agents is crucial for safe and efficient autonomous
driving. To this end, we present PredictionNet, a deep neural network (DNN) that predicts …

PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation

A Kamenev, L Wang, OB Bohan, I Kulkarni… - arXiv preprint arXiv …, 2021 - arxiv.org
Predicting the future motion of traffic agents is crucial for safe and efficient autonomous
driving. To this end, we present PredictionNet, a deep neural network (DNN) that predicts …