5 papers
Terrain Perception for Agricultural UAVs in Complex Farmland via Rotating mmWave Radar
Zhihao Zhan, Le Tao, Shaobin Li +5
Accurate terrain perception is essential for terrain-following flight of agricultural unmanned aerial vehicles (UAVs), yet remains challenging in real-world farmland due to occlusi…
D-Prism: Differentiable Primitives for Structured Dynamic Modeling
Xingyuan Yu, Yijin Li, Chong Zeng +3
Capturing both geometry and rigid motion for structured dynamic objects, like multi-part assemblies or jointed mechanisms, remains a key challenge. Existing dynamic methods, such a…
Thermal odometry and dense mapping using learned odometry and Gaussian splatting
Tianhao Zhou, Yujia Chen, Zhihao Zhan +2
Thermal infrared sensors, with wavelengths longer than smoke particles, can capture imagery independent of darkness, dust, and smoke. This robustness has made them increasingly val…
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
Yuhang Ming, Minyang Xu, Xingrui Yang +5
Visual place recognition (VPR) is an essential component of many autonomous and augmented/virtual reality systems. It enables the systems to robustly localize themselves in large-s…
Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview
Yuhang Ming, Xingrui Yang, Weihan Wang +4
Neural Radiance Fields (NeRF) have emerged as a powerful paradigm for 3D scene representation, offering high-fidelity renderings and reconstructions from a set of sparse and unstru…