Responsible for the development of perception detection algorithms for cameras, lidar, and other sensors; debugging and testing.
Responsible for the development of calibration algorithms for internal and external parameters of various sensors, and the development of multi-sensor fusion algorithms.
Responsible for deep learning target detection, semantic segmentation, and other model building.
Requirements
Master's degree or above in Computer science, Artificial Intelligence, Image Processing, or other related majors, with good C++ programming skills.
Familiar with basic vision algorithms, such as object detection and tracking, lane line detection and tracking, camera calibration, optical flow, distance estimation, etc.
Familiar with point cloud processing algorithms, such as point cloud filtering, segmentation, clustering, fitting, tracking, etc.
Familiar with basic machine vision algorithms, such as optimization algorithms, traditional classifiers, CNN, RNN, GAN, NAS, etc.
Practical project experience is preferred.
More than two years of management experience is a plus.
