iwatake2222/self-driving-ish_computer_vision_system
A C++ computer vision system for autonomous driving that performs object detection, lane detection, road segmentation, and depth estimation using TensorRT.
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This project implements a self-driving computer vision pipeline using deep learning models for multiple perception tasks. It runs object detection and tracking, lane detection with curve fitting, road segmentation, and depth estimation on images or video. The system uses projective geometry to transform images from normal view to top-down view and calculate distances. Inference is accelerated via TensorRT on GPU or TensorFlow Lite with XNNPACK on CPU.
Frequently asked
- What is iwatake2222/self-driving-ish_computer_vision_system?
- A C++ computer vision system for autonomous driving that performs object detection, lane detection, road segmentation, and depth estimation using TensorRT.
- Is self-driving-ish_computer_vision_system open source?
- Yes — iwatake2222/self-driving-ish_computer_vision_system is open source, released under the Apache-2.0 license.
- What language is self-driving-ish_computer_vision_system written in?
- iwatake2222/self-driving-ish_computer_vision_system is primarily written in C++.
- How popular is self-driving-ish_computer_vision_system?
- iwatake2222/self-driving-ish_computer_vision_system has 407 stars on GitHub.
- Where can I find self-driving-ish_computer_vision_system?
- iwatake2222/self-driving-ish_computer_vision_system is on GitHub at https://github.com/iwatake2222/self-driving-ish_computer_vision_system.