Name: Keenan Burnett
Type: User
Company: aUToronto
Bio: I'm a PhD student in robotics at the University of Toronto and an advisor to U of T's self-driving car team, aUToronto, which I lead to win 3 years in a row.
Location: Toronto, Ontario, Canada
Blog: http://autodrive.utoronto.ca/
Keenan Burnett's Projects
Docs and supporting material for the Amazon Sustainability Data Initiative.
An open autonomous driving platform
Code for 3D object detection for autonomous driving
Create a rosbag from a collection of images
Getting camera pose from a checkerboard of known size.
Lane Finding Project for Self-Driving Car ND
Create social share component in Jinja2 template based on share.js.
L5Kit - level5.lyft.com
Code for creating a 3D lidar map of Leslie St and Highway 7.
The devkit of the nuScenes dataset.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Python tools for working with KITTI data.
Calculates the extrinsic calibration between a Navtech radar and a 3D (Velodyne) lidar
Spatial Sparse Convolution in PyTorch
Takes in two images from a stereo pair and produces a disparity map.
Zeus C++ Linter
ROS support for Velodyne 3D LIDARs
Radar odometry code which removes motion distortion and Doppler effects from Navtech radar data.