A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, pp.35-45, 1960. ,
Congested traffic states in empirical observations and microscopic simulations, Physical Review E, vol.62, pp.1805-1824, 2000. ,
MOBIL: General Lane-Changing Model for Car-Following Models, Research Record Journal of the Transportation Research Board No, issue.1, pp.86-94, 1999. ,
A survey on motion prediction and risk assessment for intelligent vehicles, vol.1, pp.1-14, 2014. ,
Long short-term memory, Neural computation, vol.9, issue.8, pp.1735-1780, 1997. ,
Social Force Model for Pedestrian Dynamics, 1998. ,
, Social LSTM: Human Trajectory Prediction in Crowded Spaces, 2016.
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs, IEEE Intelligent Vehicles Symposium, 2018. ,
, SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints, 2018.
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02108756
, Socially Acceptable Trajectories with Generative Adversarial Networks, 2018.
Non-local Social Pooling for Vehicle Trajectory Prediction, proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2019. ,
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks, vol.2019 ,
GRIP: Graph-based Interaction-aware Trajectory Prediction, 2019. ,
Social Attention: Modeling Attention in Human Crowds, IEEE International Conference on Robotics and Automation (ICRA), pp.4601-4607, 2018. ,
, Attention Is All You Need, 31st Conference on Neural Information Processing Systems (NIPS ), 2017.
, Structural-RNN: Deep Learning on Spatio-Temporal Graphs, 2016.
, Mixture Density Networks, Neural Computing Research Group Report: NCRG/94/0041, 1994.
Deep learning,driving style,personalization,topological map,unsupervised learning, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018. ,
, Diverse Trajectory Forecasting with Determinantal Point Processes, 2019.
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective, 2018. ,
,
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks, vol.2019 ,
Adam: A method for stochastic optimization, International Conference on Learning Representations (ICLR), 2015. ,
Deep Neural Networks for Markovian Interactive Scene Prediction in Highway Scenarios, IEEE Intelligent Vehicles Symposium, pp.685-692, 2017. ,
, Inertial single vehicle trajectory prediction baselines with NGSIM dataset, 2019.
, Argoverse: 3D Tracking and Forecasting With Rich Maps, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.