UofTPed50 Dataset
University of Toronto, aUToronto's self-driving car dataset, which contains GPS/IMU, 3D LIDAR, and Monocular camera data. It can be used for 3D pedestrian detection.
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- 2026-10-10
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detection_by_tracker semanticscholar.org
3D-LIDAR Multi Object Tracking for Autonomous Driving: Multi-target Detection and Tracking under Urban Road Uncertainties, also used in Autoware Universe
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EU Long-term Dataset epan-utbm.github.io
This dataset was collected with our robocar (in human driving mode of course), equipped up to eleven heterogeneous sensors, in the downtown (for long-term data) and a suburb (for roundabout data) of Montbéliard in France. The vehicle speed was limited to 50 km/h following the…
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GitHub repository github.com
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles.
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urban_road_filter doi.org
Real-Time LIDAR-Based Urban Road and Sidewalk Detection for Autonomous Vehicles
LIDAR › Datasets: “University of Toronto, aUToronto's self-driving car dataset, which contains GPS/IMU, 3D LIDAR, and Monocular camera data. It can be used for 3D pedestrian detection.”