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advanced_lane_detection

Advanced lane detection using computer vision

breezyslam

Simple, efficient, open-source package for Simultaneous Localization and Mapping in Python, Matlab, Java, and C++

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

Windows and Linux version of Darknet Yolo v2 Neural Networks for object detection

extended_kalman_filter

Extended Kalman Filter: Project 6 of Udacity Self-Driving Car Nanodegree

kittibox

A car detection model implemented in Tensorflow.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lane-detection

C++ program that identifies and tracks lanes and their intersection. Can be used for autonomous driving features such as lane changing, blindspot detection, hill crest detection, turn detection and sign recognition.

models

Models and examples built with TensorFlow

slam

An implementation of particle filtering algorithm for simultaneous localization and mapping (SLAM) in autonomous robots.

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

ssd_traing_export

tensorflow-tutorials

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