Accurate fruit localisation using high resolution LiDAR-camera fusion and instance segmentation

H Kang, X Wang, C Chen - Computers and Electronics in Agriculture, 2022 - Elsevier
Accurate depth-sensing is crucial in securing a high success rate of robotic harvesting in
natural orchard environments. The solid-state LiDAR technique, a recently introduced …

[HTML][HTML] Deciphering pixel insights: A deep dive into deep learning strategies for enhanced indoor depth estimation

K Pinasthika, F Utaminingrum, CY Lin, C Wada… - International Journal of …, 2024 - Elsevier
Depth estimation is one of the crucial tasks for autonomous systems, which provides
important information about the distance between the system and its surroundings …

Accurate fruit localisation for robotic harvesting using high resolution lidar-camera fusion

H Kang, X Wang, C Chen - ar** an obstacle distance estimation system which can be used
for collision avoidance on unmanned aerial vehicles. While these aircraft have limited …

Depth extraction in computational integral imaging based on bilinear interpolation

H Huang, P Ge - Optica Applicata, 2020 - yadda.icm.edu.pl
We proposed a method using a merit function to determine the depth of objects in
computational integral imaging by analyzing the existing methods for depth extraction of …

A Novel Curb Detection Method for Advanced Driver Assistance Systems

MP Manuel, K Balan, M Murad… - 2018 IEEE 61st …, 2018 - ieeexplore.ieee.org
Curb detection is an important research topic in environment perception, which is an
essential part of Autonomous Land Vehicles (ALV) and Unmanned Ground Vehicle (UGV) …