Open Source Self Driving Car Initiative's Projects
Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
A sample 3D model of a robot to use with SVL Simulator
The LGSeocho map is a Digital Twin environment of a real-world indoor office environment
Stereo Semi Global Matching by cuda
Wavelab SLAM Library
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
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.
Code release for the ECCV 2016 paper
LiTeRo, the (Li)ttle (Te)lepresense (Ro)bot. Make a little RasPi-powered rover scoot around and do stuff.
Learning Depth from Monocular Videos using Direct Methods, CVPR 2018
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.
Masters Thesis code for: Low Cost Stereo Vision System for Autonomous Mobile Robots.
MatConvNet: CNNs for MATLAB
Interface of DJI autopilot based on its OSDK (3.2)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
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.
Source code from the MicroZed Chronicles blog hosted by Xcell Daily Blog
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"
Fork of http://sourceforge.net/projects/mjpg-streamer/
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.
Multi-lane detection in urban driving environments using conditional random fields
Embedded and Mobile Deployment
Models and examples built with TensorFlow
An OpenCV based implementation of Monocular Visual Odometry
Generalizaing Monocular 3D Human Pose Estimation in the Wild
Unsupervised single image depth prediction with CNNs