Multi-Agent Variational Occlusion Inference Using People as Sensors

Author:

Itkina Masha1,Mun Ye-Ji2,Driggs-Campbell Katherine2,Kochenderfer Mykel J.1

Affiliation:

1. Stanford University,Aeronautics and Astronautics Department,USA

2. University of Illinois at Urbana-Champaign,Electrical and Computer Engineering Department,USA

Publisher

IEEE

Reference41 articles.

1. Merging Occupancy Grid Maps From Multiple Robots

2. The expectation-maximization algorithm

3. Evidential sparsification of multimodal latent spaces in conditional variational autoencoders;itkina;Advances in Neural IInformation Processing Systems,2020

4. Trajectron++: Dynamically-feasible trajectory forecasting with heteroge-neous data;salzmann;European Conference on Computer Vision (ECCV),0

5. Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

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1. Multi-Occlusions Inference from Multiple Social Vehicles;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Social Occlusion Inference with Vectorized Representation for Autonomous Driving;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

3. Monocular Blind Spot Estimation with Occupancy Grid Mapping;2023 18th International Conference on Machine Vision and Applications (MVA);2023-07-23

4. ReasonNet: End-to-End Driving with Temporal and Global Reasoning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Occlusion-Aware Crowd Navigation Using People as Sensors;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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