Charmve/autopilot-perception
End to End Autopilot Perception Playbook
This project serves as a comprehensive playbook for understanding and building perception systems in autonomous driving. It takes raw data from vehicle cameras and LiDAR sensors, processes it through various algorithms, and outputs crucial information like detected pedestrians, vehicles, lane lines, and traversable areas. This resource is designed for engineers, researchers, or even career-changers looking to gain practical, hands-on experience in autonomous driving perception.
128 stars. No commits in the last 6 months.
Use this if you want to understand the entire pipeline of an autonomous driving perception system, from sensor input to model deployment, and gain practical experience with real-world algorithms.
Not ideal if you are looking for a high-level overview without getting into the technical details and hands-on implementation of perception algorithms.
Stars
128
Forks
26
Language
HTML
License
GPL-3.0
Category
Last pushed
Oct 07, 2024
Commits (30d)
0
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