Zhiqian Chen
Papers
1
Total Citations
30
H-Index
1
About
Zhiqian Chen is a computer vision researcher whose work focuses on object detection for intelligent transportation and safety systems. His most-cited paper, "Vehicle and Pedestrian Detection Using Support Vector Machine and Histogram of Oriented Gradients Features" (2013, 30 citations), addresses a core challenge in autonomous driving and surveillance by combining HOG features with SVM classifiers for robust detection. This work contributes to the broader progress in computer vision driven by public datasets, demonstrating practical solutions for real-world applications. Chen's research has implications for automotive safety, robotics, and surveillance, where reliable detection of vehicles and pedestrians is critical. His contributions help bridge the gap between algorithmic development and deployment in safety-critical systems. With a citation count reflecting the foundational nature of his work, Chen continues to advance the field of object detection, making his research valuable for students and engineers working on intelligent transportation and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1