1 year, 1000 km: The Oxford RobotCar dataset

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How researchers see this paper

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Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems (2020, background): “RobotCar (Maddern et al., 2017) and BDD100K (Yu et al.”
A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “RobotCar [49] is a cheaper research platform aimed for data collection.”
Playing for Benchmarks (2017, background): “The Oxford Robot-Car dataset provides more than 100 recordings of a route through central Oxford collected over a year, including recordings made at night, under heavy rain, and in the presence of snow [38].”
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners (2018, methodology): “Compared with BDDV [12] and Oxford dataset [75], we offer low level driving maneuvers of the vehicle via the CAN bus, whereas they only supply the cars ego motion via GPS devices.”
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition (2018, methodology): “Benchmark Datasets We provide additional information on the benchmark datasets that are used to train and evaluate the network, which are based on the Oxford RobotCar dataset [1] and three in-house datasets.”
An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its Application to a Real-Time Alerting System (2018, methodology): “Scoring on real-time feed from the Oxford Robot Car Dataset [16].”