Long Distance

Research on "long distance" encompasses diverse applications, primarily focusing on improving the performance of systems operating across extended spatial or temporal ranges. Current efforts involve enhancing algorithms for tasks like gesture recognition (using architectures like SlowFast and Transformer), LiDAR semantic segmentation (through multi-scan processing and improved preprocessing), and biometric identification (combining physics-based image enhancement with deep learning). These advancements are crucial for improving the accuracy and reliability of various technologies, from robotics and autonomous systems to remote sensing and human-computer interaction.