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This is a page to capture web links to published customer work, including reports, papers, and code.

Sample Datasets

The Boreas Dataset (utoronto.ca)

The Oxford Radar RobotCar Dataset (oxford-robotics-institute.github.io)

MulRan (google.com) MulRan: Multimodal Range Dataset for Urban Place Recognition

Code examples

GitHub - keenan-burnett/yeti_radar_odometry: Radar odometry code which removes motion distortion and Doppler effects from Navtech radar data.

GitHub - gisbi-kim/navtech-radar-slam: Radar SLAM: yeti radar odometry + scan context

GitHub - irapkaist/file_player_mulran: Publish ouster os1-64 scans and navtech radar polar images

GitHub - utiasASRL/hero_radar_odometry: Unsupervised radar odometry combining deep learning with classical state estimation

GitHub - marcelsheeny/navtech_radar_rospackg: ROS Package for the Navtech radar

GitHub - biomotion/navtech_projection: ROS wrapper and cpp implementation for scanning radar projection

GitHub - norlab-ulaval/navtechradar: Fork of publicly available navtech radar SDK from https://bitbucket.org/navtechradar/iasdk-public/src/master/

Links

Homepage: ASRL // Autonomous Space Robotics Laboratory (utoronto.ca)

Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation? (Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot): 2011.03512.pdf (arxiv.org)

Homepage: Oxford Robotics Institute

Article: Radar-based Navigation for All-weather Autonomous Driving | KAIST MatriX

Video: Navtech Radar Mapping demo 1 (under development) - YouTube

Video: IROS2021 - CFEAR Radarodometry - YouTube

Video: Navtech Radar SLAM v0.1 (KAIST03 MulRan dataset) - YouTube

Video: Woodland - Semi structured - YouTube

HomePage: Orebro University Mobile Robots - AASS Mobile Robotics & Olfaction Lab - (oru.se)

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