Jan 30, 2021 · Abstract:Place recognition is critical for both offline mapping and online localization. However, current single-sensor based place ...
In this paper, we propose a heterogeneous place recognition framework using joint learning strategy. Specifically, we first build a shared network to extract ...
radar-to-lidar-place-recognition. This page is the implementation of a pre-print, implemented by PyTorch.
May 17, 2021 · Our proposed framework to train the joint place recognition for radar and lidar data. The first and second rows indicate that the radar scan and ...
May 17, 2021 · We present a heterogeneous localization framework for solving radar global localization and pose tracking on pre-built lidar maps. To bridge the ...
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Jan 30, 2021 · PDF | Place recognition is critical for both offline mapping and online localization. However, current single-sensor based place recognition ...
In this paper, we propose RaLF, a novel deep neural network-based approach for localizing radar scans in a LiDAR map of the environment, by jointly learning to ...
sensor has its weakness for long-term robotic perception. sensors desired for long-term place recognition, for example, section 4. Finally, we conclude a brief ...
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing) ...
Jul 7, 2023 · This method utilizes joint training to perform place recognition ... “Radar-to-lidar: Heterogeneous place recognition via joint learning”.