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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
Autonomous Vehicle Debugging
Hands-on Engineering, Robotic Systems & Prototyping
System-level debugging, perception-system integration, data acquisition, and field validation for intelligent vehicle platforms.
Field Robotics Integration
Hands-on Engineering, Robotic Systems & Prototyping
Connecting perception algorithms with sensors, computing hardware, robotic platforms, and field validation workflows.
PCB & Embedded Electronics
Hands-on Engineering, Robotic Systems & Prototyping
PCB design, embedded electronics, sensor interfacing, and hardware-software integration for robotic systems.
Trajectory-Centric 3D Multi-Object Tracking
Zhejiang University, 2023 - 2025
Pose-aware online tracking and trajectory-centric offline optimization for autonomous driving perception.
Sparse-Map LiDAR Place Recognition and Loop Closure
Zhejiang University, 2025 - 2026
Sparse-map LiDAR place recognition and loop closure detection for compact deployment-oriented reference maps.
Vision-Language Navigation with Coarse Maps and Semantic Landmarks
Zhejiang University, 2026 - Present
Coarse maps, semantic landmarks, and language-guided localization for map-light robot navigation.
publications
PB-MOT: Pose-aware Association Boosted Online 3D Multi-Object Tracking
Published in 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Pose-aware association for online 3D multi-object tracking.
Recommended citation: B. Pang, Y. Xu, J. Chen, and L. Li, "PB-MOT: Pose-aware Association Boosted Online 3D Multi-Object Tracking," in 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025, pp. 14170-14177. doi: 10.1109/IROS60139.2025.11247375.
Download Paper
PB-MOT++: Extending Pose-aware Association to Trajectory-Centric Offline Optimization
Under revision after first-round review at IEEE Transactions on Intelligent Transportation Systems (T-ITS).
Trajectory-centric offline optimization built on pose-aware association.
Recommended citation: B. Pang, Y. Xu, J. Chen, and L. Li, "PB-MOT++: Extending Pose-aware Association to Trajectory-Centric Offline Optimization," under revision after first-round review at IEEE Transactions on Intelligent Transportation Systems (T-ITS).