5 citations · 9 across the 10 of their papers we have counts for
10 papers
Safety-Aligned 3D Object Detection: Single-Vehicle, Cooperative, and End-to-End Perspectives
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1
Perception plays a central role in connected and autonomous vehicles (CAVs), underpinning not only conventional modular driving stacks, but also cooperative perception systems and…
Workflow-Level Design Principles for Trustworthy GenAI in Automotive System Engineering
Chih-Hong Cheng, Brian Hsuan-Cheng Liao, Adam Molin +1
The adoption of large language models in safety-critical system engineering is constrained by trustworthiness, traceability, and alignment with established verification practices.…
FuzzRisk: Online Collision Risk Estimation for Autonomous Vehicles based on Depth-Aware Object Detection via Fuzzy Inference
Brian Hsuan-Cheng Liao, Yingjie Xu, Chih-Hong Cheng +2
This paper presents a novel monitoring framework that infers the level of collision risk for autonomous vehicles (AVs) based on their object detection performance. The framework ta…
Towards Continuous Assurance Case Creation for ADS with the Evidential Tool Bus
Lev Sorokin, Radouane Bouchekir, Tewodros A. Beyene +2
An assurance case has become an integral component for the certification of safety-critical systems. While manually defining assurance case patterns can be not avoided, system-spec…
EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1
This paper presents Ego-Centric Intersection-over-Union (EC-IoU), addressing the limitation of the standard IoU measure in characterizing safety-related performance for object dete…
Simulation-based Safety Assurance for an AVP System incorporating Learning-Enabled Components
Hasan Esen, Brian Hsuan-Cheng Liao
There have been major developments in Automated Driving (AD) and Driving Assist Systems (ADAS) in recent years. However, their safety assurance, thus methodologies for testing, ver…
OpenSBT: A Modular Framework for Search-based Testing of Automated Driving Systems
Lev Sorokin, Tiziano Munaro, Damir Safin +2
Search-based software testing (SBT) is an effective and efficient approach for testing automated driving systems (ADS). However, testing pipelines for ADS testing are particularly…
USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1
In this work, we consider the safety-oriented performance of 3D object detectors in autonomous driving contexts. Specifically, despite impressive results shown by the mass literatu…
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1
As an emerging type of Neural Networks (NNs), Transformers are used in many domains ranging from Natural Language Processing to Autonomous Driving. In this paper, we study the robu…
Learning for Microrobot Exploration: Model-based Locomotion, Sparse-robust Navigation, and Low-power Deep Classification
Nathan O. Lambert, Farhan Toddywala, Brian Liao +3
Building intelligent autonomous systems at any scale is challenging. The sensing and computation constraints of a microrobot platform make the problems harder. We present improveme…