Range Query
Range query research focuses on efficiently retrieving data within specified ranges, addressing challenges across diverse fields. Current efforts concentrate on improving accuracy and efficiency in applications like 3D object detection (using LiDAR, radar, and depth cameras), robot navigation (leveraging range images and inertial data), and neural network analysis (through techniques like simulated annealing and uncertainty propagation). These advancements have significant implications for autonomous systems, computer vision, and data analysis, enabling more robust and efficient processing of large datasets and improved performance in real-world applications.
Papers
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