Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...
Abstract: In adverse environments, the detector often fails to detect degraded objects because they are almost invisible and their features are weakened by the environment. Common approaches involve ...
SHANGHAI, April 17 (Reuters) - Hesai (2525.HK), opens new tab, China's leading maker of lidar, has developed a version of the technology used in autonomous driving that is capable of detecting colour, ...
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