YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
Interactive 3D visualization and debugging tool for multi-object tracking across autonomous driving datasets — using a universal scene format for LiDAR, cameras, GT/tracker comparison, and MOT diagnostics.
Vision-guided perception stack for UGV meal delivery. Implements angular offset estimation, depth calibration, and error analysis for precise tray placement.
Experiments in structured perception and system-level interpretation of visual data.
A real-time autonomous driving perception stack for highway scenarios, featuring object detection, lane detection, BEV projection, and safety logic.
A three‑stage exploration of embodied intelligence. EIS builds from First-Principles RL to robotics and perception, and Bayesian active inference. Designed for reproducible research in learning, action, and inference.
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