activity
20192026
most citedTime-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles

2 citations · 5 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.NI2023

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…

cs.RO2023

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…

cs.RO2023

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…

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…

cs.NI2023

Flowsim: A Modular Simulation Platform for Microscopic Behavior Analysis of City-Scale Connected Autonomous Vehicles

Ye Tao, Ehsan Javanmardi, Jin Nakazato +2

As connected autonomous vehicles (CAVs) become increasingly prevalent, there is a growing need for simulation platforms that can accurately evaluate CAV behavior in large-scale env…