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CULane Dataset
CULane is a large scale challenging dataset for academic research on traffic lane detection. It is collected by cameras mounted on six different vehicles driven by different... -
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... -
Speed Limits
This feature class contains unofficial speed limit data for all of the roadway segments within the City of London. Speed Limit data is provided for information purposes only.... -
Intersection Metrics
The Intersection Metrics dataset provides many insightful metrics for intersections with traffic control signals. Metrics such as the average wait time from the first, in a... -
Road Impediments
The Road Impediments dataset uses the on-board accelerometer located within Geotab’s telematics GO devices to help identify potential road impediments. Geotab refines this data... -
Hazardous Driving Areas
This dataset identifies hazardous areas for driving according to harsh braking and accident level events within a specific area. Each month a new set of dangerous driving areas...