2 citations · 5 across the 32 of their papers we have counts for
5 papers · 2 filters
Roadside LiDAR Assisted Cooperative Localization for Connected Autonomous Vehicles
Yuze Jiang, Ehsan Javanmardi, Jin Nakazato +2
Advancements in LiDAR technology have led to more cost-effective production while simultaneously improving precision and resolution. As a result, LiDAR has become integral to vehic…
Clothoid Curve-based Emergency-Stopping Path Planning with Adaptive Potential Field for Autonomous Vehicles
Pengfei Lin, Ehsan Javanmardi, Manabu Tsukada
The Potential Field (PF)-based path planning method is widely adopted for autonomous vehicles (AVs) due to its real-time efficiency and simplicity. PF often creates a rigid road bo…
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…
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…
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…