The International Journal of Robotics Research· 2016Q1
1 year, 1000 km: The Oxford RobotCar dataset
- 1,626citations
- Q1SCImago
- 2016year
Short summary
The Oxford RobotCar Dataset offers over 1000 km of driving data, including 20 million images, LIDAR, GPS, and INS, collected over a year in diverse Oxford urban conditions to enable long-term autonomous vehicle localization and mapping research.
AI-generated from the title and abstract; the full text is not read.
Key points
- Dataset covers over 1000 km of driving in central Oxford over a year.
- Includes 20 million images from 6 cameras, plus LIDAR, GPS, and INS data.
- Data collected in diverse conditions: all weather, night, sunlight, snow, and with roadworks.
- Enables research into long-term localization and mapping for autonomous vehicles.
AI-generated from the title and abstract; the full text is not read.
Abstract
We present a challenging new dataset for autonomous driving: the Oxford RobotCar Dataset. Over the period of May 2014 to December 2015 we traversed a route through central Oxford twice a week on average using the Oxford RobotCar platform, an autonomous Nissan LEAF. This resulted in over 1000 km of recorded driving with almost 20 million images collected from 6 cameras mounted to the vehicle, along with LIDAR, GPS and INS ground truth. Data was collected in all weather conditions, including heavy rain, night, direct sunlight and snow. Road and building works over the period of a year significantly changed sections of the route from the beginning to the end of data collection. By frequently traversing the same route over the period of a year we enable research investigating long-term localization and mapping for autonomous vehicles in real-world, dynamic urban environments. The full dataset is available for download at: http://robotcar-dataset.robots.ox.ac.uk
The authors' abstract, as published at the source. The International Journal of Robotics Research, 2016 · DOI ↗
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Field: Aerospace Engineering
Aerospace EngineeringEngineering