Unsupervised condition-level adaptation for semantic segmentation
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Updated
Jul 22, 2024 - Python
Unsupervised condition-level adaptation for semantic segmentation
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Detects pedestrians, cars, and lane lines. Uses OpenCV, Tensorflow, & mobilenet.
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Course materials related to Autonomous cars and related projects
The education initiative started by Chameleon Cloud (NSF Funded Cloud Testbed) to provide free, open access to high-quality edge and cloud education teaching material.
Code and data for paper 'Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling'
Autonomous Literature Overview
display_system_part2
A macroscopic multivehicle tesbed and hardware-in-the-loop simulator for autonomous driving
OpenCV_LaneDetection_HoughLineTransform
A Deep Neural Network Plays Crew 2
Obstacle detection and Path Identification for a vehicle
Notes on various Motion Planning topics for Self Driving Car
In blend of blends we trust...
Enhancing Object Detection in using Thermal Imaging for thin cross-section unidentifiable objects(eg. cyclist, pedestrians).
Self Driving Racing Car Agent (Deep Deterministic Policy Gradient algorithm)
This project explores the use of machine learning applied to image data from a single camera to decide switching lanes. Dataset is from UC Berkeley's DeepDrive group.
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