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PandaSet
Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suite... -
Automotive Multi-sensor (AMUSE) Dataset
The automotive multi-sensor (AMUSE) dataset consists of inertial and other complementary sensor data combined with monocular, omnidirectional, high frame rate visual data taken... -
Canadian Adverse Driving Conditions Dataset - University of Toronto
Complex Driving Scenarios in Adverse Conditions For this dataset, routes were chosen with various levels of traffic, a variety of vehicles and always with snowfall. Sequences... -
Canadian Adverse Driving Conditions Dataset - University of Waterloo
Complex Driving Scenarios in Adverse Conditions For this dataset, routes were chosen with various levels of traffic, a variety of vehicles and always with snowfall. Sequences... -
Ford Autonomous Vehicle Dataset
The Ford vehicles traversed an average route of 66km through the Greater Detroit Area. Each drive includes the DTW airport, University of Michigan Dearborn campus and...