iwatake2222/self-driving-ish_computer_vision_system
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
This project helps automotive engineers and researchers process video feeds from vehicles to understand their surroundings. It takes raw video or camera input and outputs a combined view with detected objects (like cars and pedestrians), identified lane lines, segmented road areas, and estimates the distance to objects. This is ideal for those developing or testing autonomous driving features and need real-time environmental perception.
404 stars. No commits in the last 6 months.
Use this if you are working on autonomous vehicle systems and need to quickly set up a computer vision pipeline that performs multiple simultaneous detection and estimation tasks on real-time video or recorded footage.
Not ideal if you need a lightweight solution for a single computer vision task (like only object detection) or if you are not working with embedded systems or high-performance GPUs.
Stars
404
Forks
88
Language
C++
License
Apache-2.0
Category
Last pushed
Feb 12, 2022
Commits (30d)
0
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