3 accepted papers
Recent progress in 3D place recognition has delivered strong results in urban and indoor scenarios, but orchards remain largely unexplored. In these environments, unreliable or absent GNSS signals necessitate LiDAR-based place recognition for robust long-term localization, yet challenges such as ill…
Accurate long-term place recognition is crucial for agricultural robots operating in unstructured environments. However, in the challenging scene of orchard with high-frequency repetitive features, traditional LiDAR-based localization methods relying on geometric features prove to be inadequate. To…
RGB-D cameras have been successfully used for indoor High-ThroughPut Phenotyping (HTPP). However, their capability and feasibility for in-field HTPP applications still need to be evaluated. To solve the problem, we evaluate the depth-ranging performances of a consumer-level RGB-D camera (RealSense D…