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
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments
HyunJun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam
Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search
Ruidong Han, Chao Yang, Siqi Ma, JiangFeng Ma, Cong Sun, Juanru Li, Elisa Bertino