RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs-Reference-Cited by-同舟云学术

RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs

Published:2019-10-08 Issue: Volume: Page:
ISSN:
Container-title:ACM Computer Science in Cars Symposium
language:
Short-container-title:

Author:

Chandra Rohan¹,Bhattacharya Uttaran²,Roncal Christian¹,Bera Aniket³,Manocha Dinesh⁴

Affiliation:

1. University of Maryland

2. University of Maryland, College Park

3. The University of North Carolina at Chapel Hill

4. UMD

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3359999.3360495

Reference37 articles.

1. Social LSTM: Human Trajectory Prediction in Crowded Spaces

2. Estimating the Driving State of Oncoming Vehicles From a Moving Platform Using Stereo Vision

3. GLMP- realtime pedestrian path prediction using global and local movement patterns

4. Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty

5. Jean-Yves Bouguet. 2015. Complete Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib_doc/ Jean-Yves Bouguet. 2015. Complete Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib_doc/

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety;Internet of Things;2024-10

2. Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review;Data Science for Transportation;2024-01-08

3. Enhancing trajectory prediction of Simultaneous Collision Avoidance and Interaction modelling through parameter learning using Machine Learning;2023 Moratuwa Engineering Research Conference (MERCon);2023-11-09

4. Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review;IEEE Transactions on Intelligent Transportation Systems;2023-11

5. RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01