2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 1 cited
Occlusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety
Pengfei Lin, Ehsan Javanmardi, Jin Nakazato +1
Collision avoidance (CA) has always been the foremost task for autonomous vehicles (AVs) under safety criteria. And path planning is directly responsible for generating a safe path…
cs.RO2023★ 1 cited
Potential Field-based Path Planning with Interactive Speed Optimization for Autonomous Vehicles
Pengfei Lin, Ehsan Javanmardi, Jin Nakazato +1
Path planning is critical for autonomous vehicles (AVs) to determine the optimal route while considering constraints and objectives. The potential field (PF) approach has become pr…
cs.RO2023★ 2 cited
Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles
Pengfei Lin, Ehsan Javanmardi, Ye Tao +3
Making safe and successful lane changes (LCs) is one of the many vitally important functions of autonomous vehicles (AVs) that are needed to ensure safe driving on expressways. Rec…