2 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
Zero-Knowledge Proof of Traffic: A Deterministic and Privacy-Preserving Cross Verification Mechanism for Cooperative Perception Data
Ye Tao, Ehsan Javanmardi, Pengfei Lin +4
Cooperative perception is crucial for connected automated vehicles in intelligent transportation systems (ITSs); however, ensuring the authenticity of perception data remains a cha…
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…