Exactly 7 years ago, MRG made the headlines as they demonstrated the first autonomous vehicle on UK roads, driving around Begbroke Science Park on a snowy winters day. Which makes today a great day to celebrate the achievements of this amazing robot.

 

Since then, the RobotCar has become the most notable data collection platform for the ORI: the 10K data-set has been cited over 300 times. The Robot Car was also used for the follow on Radar RobotCar Dataset, which is becoming a standard benchmark for Radar algorithms in Autonomous Vehicles.

  • [PDF] [DOI] W. Maddern, G. Pascoe, C. Linegar, and P. Newman, “1 Year, 1000 km: The Oxford RobotCar dataset,” The International Journal of Robotics Research, vol. 36, iss. 1, p. 3–15, 2017.
    [Bibtex]
    @Article{MaddernIJRR2016,
    author = {Maddern, Will and Pascoe, Geoffrey and Linegar, Chris and Newman, Paul},
    title = {1 Year, 1000 km: The Oxford RobotCar dataset},
    journal = {The International Journal of Robotics Research},
    year = {2017},
    volume = {36},
    number = {1},
    pages = {3--15},
    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},
    doi = {10.1177/0278364916679498},
    eprint = {http://dx.doi.org/10.1177/0278364916679498},
    pdf = {http://robotcar-dataset.robots.ox.ac.uk/images/robotcar_ijrr.pdf},
    url = {http://dx.doi.org/10.1177/0278364916679498},
    }
  • [PDF] D. Barnes, M. Gadd, P. Murcutt, P. Newman, and I. Posner, “The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020.
    [Bibtex]
    @inproceedings{RadarRobotCarDatasetICRA2020,
    address = {Paris},
    author = {Barnes, Dan and Gadd, Matthew and Murcutt, Paul and Newman, Paul and Posner, Ingmar},
    title = {The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    url = {https://arxiv.org/abs/1909.01300},
    pdf = {https://arxiv.org/pdf/1909.01300.pdf},
    year = {2020}
    }

However, all good things must come to an end, and in January the RobotCar went to its new home at the British Science Museum. Over the course of R lifetime, Autonomous Vehicles have come from relative obscurity to making regular front page news.

We’re excited to think about the future of the research undertaken at ORI here and now, and where it will be in seven years time!