mlsanityData to 14 Oct 2026

Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors

arXiv 2309.14497 ↗First posted 25 Sep 2023cs.AI cs.RO cs.SYcited by 1

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Abstract (arXiv)

Understanding the intention of vehicles in the surrounding traffic is crucial for an autonomous vehicle to successfully accomplish its driving tasks in complex traffic scenarios such as highway forced merging. In this paper, we consider a behavioral model that incorporates both social behaviors and personal objectives of the interacting drivers. Leveraging this model, we develop a receding-horizon control-based decision-making strategy, that estimates online the other drivers' intentions using Bayesian filtering and incorporates predictions of nearby vehicles' behaviors under uncertain intentions. The effectiveness of the proposed decision-making strategy is demonstrated and evaluated based on simulation studies in comparison with a game theoretic controller and a real-world traffic dataset.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 32 references that are in the map. First posted on arXiv 25 Sep 2023.

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13 of 32 references.

References · 13

  1. 2020Deep Reinforcement Learning for Autonomous Driving: A Surveycited by 721
  2. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 690
  3. 2020Learning Lane Graph Representations for Motion Forecastingcited by 382
  4. 2018The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systemscited by 277
  5. 2018Hierarchical Game-Theoretic Planning for Autonomous Vehiclescited by 48
  6. 2020Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approachcited by 47
  7. 2020Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approachcited by 31
  8. 2022Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Modelscited by 27
  9. 2020B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Drivingcited by 15
  10. 2019Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Drivingcited by 14
  11. 2021Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarioscited by 9
  12. 2022Potential Game-Based Decision-Making for Autonomous Drivingcited by 9
1 more
  1. 2021Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Carscited by 3

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Citing papers per year: 2023: 1.

1 paper.

  1. 2023Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Networkcited by 1