Papers

2

Total Citations

70

H-Index

2

About

Jichao Hong is a researcher whose work bridges autonomous vehicle navigation and lithium battery safety, two critical domains in modern engineering. His primary research areas include path planning for tracked vehicles and thermal runaway detection in energy storage systems. Hong’s most notable contribution is his development of an automatic parking path planning method for tracked vehicles, which integrates an improved A* algorithm with a dynamic window approach (DWA). This work, published in 2022 and garnering 67 citations, addresses the unique challenges of tracked vehicles operating in disaster relief and engineering environments, where high-precision stopping is essential. By enhancing path efficiency and obstacle avoidance, Hong’s algorithm advances autonomous mobility in rugged terrains. More recently, in 2025, he has turned to battery safety, proposing a machine vision-based method for early detection of thermal runaway boundaries in lithium batteries. Though still emerging with 3 citations, this work signals a timely shift toward preventing catastrophic battery failures. Hong’s research demonstrates a clear trajectory from improving vehicle autonomy to ensuring energy system reliability, making his contributions valuable for both robotics and sustainable energy fields.

Research Focus

Key Achievements

2
H-Index
2
Papers
70
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Parking Path Planning of Tracked Vehicle Based on Improved A* and DWA Algorithms
67 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Science and Technology Beijing, Foshan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago