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Open Source Self Driving Car Initiative photo

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Name: Open Source Self Driving Car Initiative

Type: Organization

Bio: Full stack open source software and hardware to allow anyone to build from toy to full size self driving cars. Join the discussions at: http://join.ossdc.org/

Blog: http://ossdc.org/

Open Source Self Driving Car Initiative's Projects

leflow icon leflow

Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

lgcloi icon lgcloi

A sample 3D model of a robot to use with SVL Simulator

lgseocho icon lgseocho

The LGSeocho map is a Digital Twin environment of a real-world indoor office environment

libsgm icon libsgm

Stereo Semi Global Matching by cuda

lidar-bonnetal icon lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

lidarview icon lidarview

LidarView performs real-time visualization and easy processing of live captured 3D LiDAR data from Lidar sensors. Runs on Windows, Linux and MacOS. Contrasting to VeloView (that Kitware develops with Velodyne), it provides experimental algorithms and features, but you may expect LidarView to crash in some situations.

lift icon lift

Code release for the ECCV 2016 paper

litero icon litero

LiTeRo, the (Li)ttle (Te)lepresense (Ro)bot. Make a little RasPi-powered rover scoot around and do stuff.

lkvolearner icon lkvolearner

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

mastersthesis icon mastersthesis

Masters Thesis code for: Low Cost Stereo Vision System for Autonomous Mobile Robots.

mc-cnn icon mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

mcptam icon mcptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

midas icon midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

mld_crf icon mld_crf

Multi-lane detection in urban driving environments using conditional random fields

models icon models

Models and examples built with TensorFlow

mono-vo icon mono-vo

An OpenCV based implementation of Monocular Visual Odometry

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

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