Haochong Chen
Engineering · The Ohio State University
Publications
33
Citations
137
Est. group size
~5
Recurring co-author estimate
Active years
57
Publishing since 1970
Haochong Chen works on autonomous vehicle control and path planning, focusing on making self-driving systems safe around pedestrians, bicyclists, and other vulnerable road users. Their work combines mathematical safety guarantees (control barrier functions and Lyapunov-based methods) with modern path-planning algorithms and reinforcement learning to help vehicles navigate, park, and avoid collisions, including scenarios involving trailers.
Publication output has grown sharply from zero in the early 2010s-2020s to a peak of over a decade of activity concentrated in 2023-2026, indicating a recently established and rapidly growing research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- High Order Control Lyapunov Function - Control Barrier Function - Quadratic Programming Based Autonomous Driving Controller for Bicyclist Safety
SAE technical papers on CD-ROM/SAE technical paper series · 2026
- Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System
Preprints.org · 2026
- Hybrid A*-Based Reverse Path-Planning of a Vehicle with Single Trailer
Electronics · 2026
- Modified Hybrid A* Collision-Free Path-Planning for Reverse Parking a Vehicle in Tight Spaces
SAE technical papers on CD-ROM/SAE technical paper series · 2026
- Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System
arXiv (Cornell University) · 2026
- Hybrid A*-Based Reverse Path-Planning of a Vehicle with Trailer System
arXiv (Cornell University) · 2026
- Safe Hierarchical Autonomous Driving Framework: Integrating SAC-D Planning With HOCLF-HOCBF-QP Constrained Low-Level Control
IEEE Open Journal of Vehicular Technology · 2026
- Collision Avoidance in Autonomous Vehicles Using the Control Lyapunov Function–Control Barrier Function–Quadratic Programming Approach with Deep Reinforcement Learning Decision-Making
Electronics · 2025
- Hierarchical Deep Reinforcement Learning-Based Path Planning with Underlying High-Order Control Lyapunov Function—Control Barrier Function—Quadratic Programming Collision Avoidance Path Tracking Control of Lane-Changing Maneuvers for Autonomous Vehicles
Electronics · 2025
- Communication Disturbance Observer Based Delay-Tolerant Control for Autonomous Driving Systems
Sensors · 2025
- Developing a Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Pipeline for Vulnerable Road User Safety
SAE technical papers on CD-ROM/SAE technical paper series · 2025
- Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety
arXiv (Cornell University) · 2025
- Development of an Advisory System for Parking of a Car and Trailer
arXiv (Cornell University) · 2025
- Development of an Advisory System for Parking a Car with Trailer
SAE International Journal of Advances and Current Practices in Mobility · 2025
- Communication Disturbance Observer Based Delay Tolerant Control for Autonomous Driving System
Preprints.org · 2025
- arXiv (Cornell University)×9
- SAE technical papers on CD-ROM/SAE technical paper series×5
- Electronics×4
- Preprints.org×3
- Sensors×2
- Dan Shen
Engineering · Purdue University West Lafayette
- Evan Lowe
Engineering · The Ohio State University
- Bilin Aksun Güvenç
Engineering · The Ohio State University
- Bilin Aksun‐Güvenç
Engineering · The Ohio State University
- Jamshir Qureshi
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile