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DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions.

, , , , , and . IROS, page 1373-1380. (2023)

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Filter Early, Match Late: Improving Network-Based Visual Place Recognition., , and . IROS, page 3268-3275. IEEE, (2019)Towards Long-term Robotics in the Wild., , , and . CoRR, (2024)Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods., , and . CoRR, (2019)Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization., , , , , and . IROS, page 5258-5265. (2023)DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions., , , , , and . IROS, page 1373-1380. (2023)GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors., , , , and . IEEE Robotics Autom. Lett., 9 (1): 915-922 (January 2024)Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition., , , , and . CVPR, page 14141-14152. Computer Vision Foundation / IEEE, (2021)Hierarchical Multi-Process Fusion for Visual Place Recognition., and . ICRA, page 3327-3333. IEEE, (2020)Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary Technique., , , and . ICRA, page 1919-1925. IEEE, (2023)Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration., , and . CoRR, (2018)