SMART-Merge Planner: A Safe Merging and Real-Time Motion Planner for Autonomous Highway On-Ramp Merging
Mohammadnejad, Toktam, D'sa, Jovin, Chalaki, Behdad, Mahjoub, Hossein Nourkhiz, Moradi-Pari, Ehsan
–arXiv.org Artificial Intelligence
-- Merging onto a highway is a complex driving task that requires identifying a safe gap, adjusting speed, often interactions to create a merging gap, and completing the merge maneuver within a limited time window while maintaining safety and driving comfort. In this paper, we introduce a Safe Merging and Real-Time Merge (SMART -Merge) planner, a lattice-based motion planner designed to facilitate safe and comfortable forced merging. By deliberately adapting cost terms to the unique challenges of forced merging and introducing a desired speed heuristic, SMART -Merge planner enables the ego vehicle to merge successfully while minimizing the merge time. We verify the efficiency and effectiveness of the proposed merge planner through high-fidelity CarMaker simulations on hundreds of highway merge scenarios. Our proposed planner achieves the success rate of 100% as well as completes the merge maneuver in the shortest amount of time compared with the baselines, demonstrating our planner's capability to handle complex forced merge tasks and provide a reliable and robust solution for autonomous highway merge. The simulation result videos are available at https://sites.google.com/ Safe and efficient merging on highway on-ramps is challenging for Autonomous V ehicles (A Vs).
arXiv.org Artificial Intelligence
Jul-16-2025
- Country:
- North America > United States (0.28)
- Genre:
- Research Report (0.40)
- Industry:
- Automobiles & Trucks (1.00)
- Transportation > Ground
- Road (1.00)
- Technology: