Feature-Based Prediction of Trajectories for Socially Compliant Navigation

Cited by (214)

Items 101–200 of 214

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2. Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
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3. Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers
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4. Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
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6. rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos
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9. Qualitative Design and Implementation of Human-Robot Spatial Interactions
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10. Prediction of human collision avoidance behavior by lifelong learning for socially compliant robot navigation
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11. Planning with Resource Conflicts in Human-Robot Cohabitation
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12. Predicting Occupancy Distributions of Walking Humans With Convolutional Neural Networks
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13. Dynamic Risk Density for Autonomous Navigation in Cluttered Environments without Object Detection
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14. Learning Goal Conditioned Socially Compliant Navigation From Demonstration Using Risk-Based Features
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15. Real-Time Workload Classification during Driving using HyperNetworks
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16. A Unified Multiple-Motion-Mode Framework for Socially Compliant Navigation in Dense Crowds
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17. Classifying Group Emotions for Socially-Aware Autonomous Vehicle Navigation
    Aniket Bera, Tanmay Randhavane, Austin Wang, Dinesh Manocha, Emily Kubin, Kurt J. Gray · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
18. Socially Aware Robot Navigation Using Deep Reinforcement Learning
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19. How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot Navigation
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20. The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments
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21. Autonomous Navigation System in Pedestrian Scenarios Using a Dreamer-Based Motion Planner
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22. Turning assistive machines into assistive robots
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23. Adaptive control for robot navigation in human environments based on social force model
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25. Inverse Reinforcement Learning of Pedestrian–Robot Coordination
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26. Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design
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27. MPDM: Multi-policy Decision-Making from Autonomous Driving to Social Robot Navigation
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29. Enhanced Spatial Attention Graph for Motion Planning in Crowded, Partially Observable Environments
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30. Learning to give route directions from human demonstrations
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31. Learning Occupancy Priors of Human Motion From Semantic Maps of Urban Environments
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32. Socially-Aware Robot Planning via Bandit Human Feedback
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33. Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network
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34. Wheelchair Navigation Assistance in the FP7 Project RADHAR: Objectives and Current State
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35. Towards Assessing the Human Trajectory Planning Horizon
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36. General-Sum Multi-Agent Continuous Inverse Optimal Control
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37. Decision Anticipation for Driving Assistance Systems
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38. Robotic Services at Home: An Initialization System Based on Robots' Information and User Preferences in Unknown Environments
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39. Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks
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40. Prevention and Resolution of Conflicts in Social Navigation - a Survey.
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41. Predicting Body Movement and Recognizing Actions: An Integrated Framework for Mutual Benefits
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42. Modelling Multi-Channel Emotions Using Facial Expression and Trajectory Cues for Improving Socially-Aware Robot Navigation
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43. Real Time Crowd Navigation from First Principles of Probability Theory
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44. Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation
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45. Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning
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46. Pedestrian Trajectory Prediction Using RNN Encoder-Decoder with Spatio-Temporal Attentions
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47. Multiple human trajectory prediction and cooperative navigation modeling in crowded scenes
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48. Learning from Demonstration: Situation-Adaptive Lane Change Trajectory Planning for Automated Highway Driving
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49. Kernel density estimation for target trajectory prediction
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50. A model-free mapless navigation method for mobile robot using reinforcement learning
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51. Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
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52. Improving Navigation with the Social Force Model by Learning a Neural Network Controller in Pedestrian Crowds
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53. Learning social navigation from demonstrations with conditional neural processes
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54. A formal framework for studying interaction in human-robot societies
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55. Dynamically Switching Human Prediction Models for Efficient Planning
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56. An Open Framework for Human-Like Autonomous Driving Using Inverse Reinforcement Learning
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57. PIVO: Probabilistic Inverse Velocity Obstacle for Navigation under Uncertainty
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58. Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes
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59. A Multimodal and Hybrid Framework for Human Navigational Intent Inference
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60. Anomaly Detection in Crowded Scene by Pedestrians Behaviour Extraction using Long Short Term Method: A Comprehensive Study
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64. Joint Communication and Motion Planning for Cobots
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70. CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction
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79. Realtime Pedestrian Tracking and Prediction in Dense Crowds
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90. Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models
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93. Multiworld Motion Planning
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97. Hallucinated Humans: Learning Latent Factors To Model 3D Environments
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98. Sample Efficient Social Navigation Using Inverse Reinforcement Learning
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100. Learning from Natural Human Interactions for Assistive Robots
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