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NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance.

, , , , and . CVPR, page 1446-1455. IEEE Computer Society, (2017)

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1 year, 1000 km: The Oxford RobotCar dataset., , , and . Int. J. Robotics Res., 36 (1): 3-15 (2017)Leveraging experience for large-scale LIDAR localisation in changing cities., , and . ICRA, page 1684-1691. IEEE, (2015)FARLAP: Fast robust localisation using appearance priors., , , and . ICRA, page 6366-6373. IEEE, (2015)Feature Query Networks: Neural Surface Description for Camera Pose Refinement., , , , , , , , and . CVPR Workshops, page 5067-5077. IEEE, (2022)NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance., , , , and . CVPR, page 1446-1455. IEEE Computer Society, (2017)Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments., , , and . CoRR, (2017)Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments., , , and . ICRA, page 1894-1900. IEEE, (2018)Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset., , , , , and . CoRR, (2020)Robust Direct Visual Localisation using Normalised Information Distance., , and . BMVC, page 70.1-70.13. BMVA Press, (2015)Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments., , and . ICCV Workshops, page 98-105. IEEE Computer Society, (2015)