Visual Driving Rule (VDR)
A car-following model derived from 2D image plane, with theoretical stability analysis and simulation.
Bowen Geng is a PhD candidate at Rutgers University, specializing in Computer Vision, LiDAR Sensing, Connected Autonomous Vehicle Systems, and Traffic Flow Theory.
I’m a PhD candidate in Civil Engineering at Rutgers University. My work bridges computer vision, roadside sensing (LiDAR/camera), and connected-vehicle communications to enable reliable real-time traffic perception and analytics.
A car-following model derived from 2D image plane, with theoretical stability analysis and simulation.
Traffic light detection + adaptive color features over time, robust to illumination, glare, and partial occlusion.
Transforming front-view dashcam footage into top-down road layouts for vehicle localization and scene understanding.
Reconstructing dynamic road scenes in 3D to support digital twin visualization, traffic analysis, and mobility research.
Multi-sensor deployments and large-scale processing pipelines for New Brunswick, NJ corridors.
Authenticated publish/subscribe data products for MAP/SPaT/BSM-like streams over cellular networks.
Developed an application to record dashcam video and corresponding mobile sensor data.
Email: bg605@scarletmail.rutgers.edu
LinkedIn: /in/bowengeng