Orthophoto Classification for UGV Path Planning using Heterogeneous Computing
We have developed a system that uses aerial imagery for improving unmanned ground vehicle navigation capabilities. The current article focuses on the viability of using heterogeneous computing architecture for improving system performance in terms of energy consumption and area analysed per second.
Main Authors: | Robert Hudjakov, Mart Tamre |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2013-06-01
|
Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/56545 |
Similar Items
-
Target searching and global path planning in UAV/UGV cooperative systems
by: Xi A′xing, et al.
Published: (2019-01-01) -
Deep learning navigation for UGVs on forests paths
by: Lind, Linus
Published: (2018) -
A Path Following Method with Obstacle Avoidance for UGVs
by: Lindefelt, Anna, et al.
Published: (2008) -
UGV Navigation Optimization Aided by Reinforcement Learning-Based Path Tracking
by: Minggao Wei, et al.
Published: (2018-01-01) -
Implementation of Integrated Wireless Network and MATLAB System to Control Autonomous Mobile Robot
by: Mart Tamre, et al.
Published: (2018-11-01)