11 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TorontoCA7 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Clermont Auvergne INP1 paper
- Institut National Polytechnique de ToulouseFR1 paper
- Institut PascalFR1 paper
- McMaster UniversityCA1 paper
- Technical University of MunichDE1 paper
- Technische Universität BerlinDE1 paper
- Technologies et systèmes d'information pour les agrosystèmesFR1 paper
- Toronto Rehabilitation InstituteCA1 paper
- Universidad del NoresteMX1 paper
- Université Clermont AuvergneFR1 paper
8 papers
A Certifably Correct Algorithm for Generalized Robot-World and Hand-Eye Calibration
Emmett Wise, Pushyami Kaveti, Qilong Chen +5
Automatic extrinsic sensor calibration is a fundamental problem for multi-sensor platforms. Reliable and general-purpose solutions should be computationally efficient, require few…
2Fast-2Lamaa: Large-Scale Lidar-Inertial Localization and Mapping with Continuous Distance Fields
Cedric Le Gentil, Raphael Falque, Daniil Lisus +1
This paper introduces 2Fast-2Lamaa, a lidar-inertial state estimation framework for odometry, mapping, and localization. Its first key component is the optimization-based undistort…
Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments
Elie Randriamiarintsoa, Johann Laconte, Benoit Thuilot +1
Autonomous navigation in unknown 3D environments is a key issue for intelligent transportation, while still being an open problem. Conventionally, navigation risk has been focused…
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Spencer Teetaert, Wenda Zhao, Niu Xinyuan +21
Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportu…
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System
Sean Wu, Nicole Amenta, Jiachen Zhou +2
Following four successful years in the SAE AutoDrive Challenge Series I, the University of Toronto is participating in the Series II competition to develop a Level 4 autonomous pas…
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Jacopo Panerati, Hehui Zheng, SiQi Zhou +3
Robotic simulators are crucial for academic research and education as well as the development of safety-critical applications. Reinforcement learning environments -- simple simulat…
Do We Need to Compensate for Motion Distortion and Doppler Effects in Spinning Radar Navigation?
Keenan Burnett, Angela P. Schoellig, Timothy D. Barfoot
In order to tackle the challenge of unfavorable weather conditions such as rain and snow, radar is being revisited as a parallel sensing modality to vision and lidar. Recent works…
aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge
Keenan Burnett, Sepehr Samavi, Steven L. Waslander +2
The University of Toronto is one of eight teams competing in the SAE AutoDrive Challenge -- a competition to develop a self-driving car by 2020. After placing first at the Year 1 c…