An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)
A real-time lane detection system applied computer vision techniques and deep learning.
😀👏 Detect pedestrians, cars, trucks, bicycles and other vehicles on the road where the vehicle is traveling, and issue an alarm
This project focuses on key perception tasks for self-driving cars, including ground plane estimation from 3D data, semantic segmentation to identify drivable areas, and detection of lanes and obstacles. By combining these techniques, the system helps autonomous vehicles understand their environment for safe and efficient navigation.
Targetless LiDAR-camera extrinsic calibration using line features (lane markings and poles) from road scenes, with PnL-based initialization and mask-guided refinement.
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