SMART-Merge Planner: A Safe Merging and Real-Time Motion Planner for Autonomous Highway On-Ramp Merging
Toktam Mohammadnejad, Jovin D'sa, Behdad Chalaki, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari

TL;DR
The paper presents SMART-Merge, a lattice-based motion planner for autonomous highway on-ramp merging that ensures safe, efficient, and comfortable merges with a 100% success rate in high-fidelity simulations.
Contribution
It introduces a novel cost-adaptive lattice-based planner with a speed heuristic specifically designed for safe and efficient highway merging tasks.
Findings
Achieves 100% success rate in simulated highway merges.
Completes merges faster than baseline methods.
Demonstrates robustness across hundreds of scenarios.
Abstract
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…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Autonomous Vehicle Technology and Safety · Transportation and Mobility Innovations
