Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 65 tok/s
Gemini 2.5 Pro 47 tok/s Pro
GPT-5 Medium 39 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 97 tok/s Pro
Kimi K2 164 tok/s Pro
GPT OSS 120B 466 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Interaction-Aware Vehicle Motion Planning with Collision Avoidance Constraints in Highway Traffic (2404.01661v1)

Published 2 Apr 2024 in cs.RO, cs.SY, and eess.SY

Abstract: This paper proposes collision-free optimal trajectory planning for autonomous vehicles in highway traffic, where vehicles need to deal with the interaction among each other. To address this issue, a novel optimal control framework is suggested, which couples the trajectory of surrounding vehicles with collision avoidance constraints. Additionally, we describe a trajectory optimization technique under state constraints, utilizing a planner based on Pontryagin's Minimum Principle, capable of numerically solving collision avoidance scenarios with surrounding vehicles. Simulation results demonstrate the effectiveness of the proposed approach regarding interaction-based motion planning for different scenarios.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (8)
  1. Kim, Dongryul, Hung Duy Nguyen, and Kyoungseok Han. “State-Constrained Lane Change Trajectory Planning for Emergency Steering on Slippery Roads.” IEEE Transactions on Vehicular Technology (2023).
  2. Singh, Amrik Singh Phuman, and Osamu Nishihara. “Trajectory tracking and integrated chassis control for obstacle avoidance with minimum jerk.” IEEE Transactions on Intelligent Transportation Systems 23.5 (2021): 4625-4641.
  3. Hu, Xiangwang, and Jian Sun. “Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area.” Transportation Research Part C: Emerging Technologies 101 (2019): 111-125.
  4. Nguyen, Hung Duy, Mooryong Choi, and Kyoungseok Han. “Risk-informed decision-making and control strategies for autonomous vehicles in emergency situations.” Accident Analysis Prevention 193 (2023): 107305.
  5. Kim, Namwook, Jongryeol Jeong, and Chunhua Zheng. “Adaptive energy management strategy for plug-in hybrid electric vehicles with Pontryagin’s minimum principle based on daily driving patterns.” International Journal of Precision Engineering and Manufacturing-Green Technology 6 (2019): 539-548.
  6. Locatelli, Arturo, and S. Sieniutycz. “Optimal control: An introduction.” Appl. Mech. Rev. 55.3 (2002): B48-B49.
  7. Raftery, Adrian E. “A model for high-order Markov chains.” Journal of the Royal Statistical Society Series B: Statistical Methodology 47.3 (1985): 528-539.
  8. Zhang, Han, Chang Liu, and Wanzhong Zhao. “Segmented Trajectory Planning Strategy for Active Collision Avoidance System.” Green Energy and Intelligent Transportation 1.1 (2022): 100002.
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com