most citedAutonomous Emergency Braking With Driver-In-The-Loop: Torque Vectoring for Active Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025

Approaches to Analysis and Design of AI-Based Autonomous Vehicles

Tao Yan, Zheyu Zhang, Jingjing Jiang +1

Artificial intelligence (AI) models are becoming key components in an autonomous vehicle (AV), especially in handling complicated perception tasks. However, closing the loop throug…

eess.SY2025

Control Analysis and Design for Autonomous Vehicles Subject to Imperfect AI-Based Perception

Tao Yan, Zheyu Zhang, Jingjing Jiang +1

Safety is a critical concern in autonomous vehicle (AV) systems, especially when AI-based sensing and perception modules are involved. However, due to the black box nature of AI al…

eess.SY2025

A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance

Yalei Yu, Matthew Coombes, Wen-Hua Chen +7

Active object detection, which aims to identify objects of interest through controlled camera movements, plays a pivotal role in real-world visual perception for autonomous robotic…

eess.SY2024★ 1 cited

Autonomous Emergency Braking With Driver-In-The-Loop: Torque Vectoring for Active Learning

Benjamin Sullivan, Jingjing Jiang, Georgios Mavros +1

Autonomous Emergency Braking (AEB) potentially brings significant improvements in automotive safety due to its ability to autonomously prevent collisions in situations where the dr…

eess.SY2024

A hierarchical control framework for autonomous decision-making systems: Integrating HMDP and MPC

Xue-Fang Wang, Jingjing Jiang, Wen-Hua Chen

This paper proposes a comprehensive hierarchical control framework for autonomous decision-making arising in robotics and autonomous systems. In a typical hierarchical control arch…