This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
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Updated
Jul 25, 2022 - Python
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
The deep semantic segmentation network for lane segmentation.
Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.
Drive a RC car on a track, detecting lanes using semantic segmentation. Uses Donkeycar, ROS, Raspberry Pi 4, Google Edge TPU.
Lane Segmentation powered by InSPyReNet (ACCV 2022).
A model on lane detection has been developed with the data set we have created.
Dataset for training lane segmentation and traffic sign detection from Goodgame, the Champion of FPT Digital Race - Cuộc Đua Số 2020.
Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite.
YOLOPv2のPythonでのONNX推論サンプル
Right lane segmentation in Duckietown environment
Python script for vehicle detection and tracking using YOLOv8 with dynamic road extent visualization. The model adapts to various camera angles, accurately determining road height by detecting road, sky, and mid lines. Includes TTC calculations, cut-in warnings, and visual overlays.
The deep semantic segmentation network for lane segmentation.
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