ANTS: Automatic Navigation of Terrain Systems

2002 ◽  
pp. 497-510
Author(s):  
Tim Batchelor Hnd
Keyword(s):  
Automatic Navigation

scholarly journals Topography analysis using wearable devices and its integration in navigation systems

2018 ◽  
Vol 7 (3.29) ◽  
pp. 125
Author(s):  
S Domb Menachem ◽  
Sanjay Sanjay
Keyword(s):  
Road Surface ◽  
Navigation Systems ◽  
End User ◽  
Surface Information ◽  
Safety Requirements ◽  
The Road ◽  
Automatic Navigation ◽  
Route Finding ◽  
Three Stages ◽  
Gps Devices

Automatic navigation in an unknown environment raises various challenges as many cues about orientation are difficult to perceive without the use of vision. Though assisted aids such as GPS devices help in route finding, still it fails to fulfill safety requirements. This paper proposes a framework that provides accurate guiding and information on the route traversal and the topography of the road ahead. The framework is composed of technologies such as Lumigrids, Drone, GPS, Mobile applications, Cloud storage which are used to map the road surface and generate proper navigation guidance to the end user. This is done in three stages; [1]. Off-line mapping of the road surface and storing this information in the cloud. 2. Wearable technology used for obtaining in real-time surface information and comparing it to the data on the cloud facilitating accurate and safer navigation 3. Updating the cloud information with information collected by the pedestrian 

Geostationary satellite full disk image data-based automatic navigation

2006 ◽  
Author(s):  
B. S. Gohil ◽  
A. K. Mathur ◽  
Abhijit Sarkar ◽  
Vijay K. Agarwal
Keyword(s):  
Image Data ◽  
Geostationary Satellite ◽  
Automatic Navigation ◽  
Disk Image ◽  
Full Disk

Research and Experiment on Path-Tracking Control of Autonomous Tractor Based on Lateral Deviation and Yaw Rate Feedback

2021 ◽  
Vol 37 (5) ◽  
pp. 891-899
Author(s):  
Bingli Zhang ◽  
Jin Cheng ◽  
Pingping Zheng ◽  
Aojia Li ◽  
Xiaoyu Cheng
Keyword(s):  
Tracking Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Path Tracking ◽  
Steering Angle ◽  
Lateral Deviation ◽  
Yaw Rate ◽  
Automatic Navigation ◽  
Rate Feedback ◽  
The Ideal

HighlightsAutomatic navigation technology in autonomous tractors is one of the key technologies in precision agriculture.A path-tracking control algorithm based on lateral deviation and yaw rate feedback is proposed.The modified steering angle was obtained by comparing the ideal yaw rate with the actual yaw rate.The results demonstrate the efficiency and superior accuracy of the proposed algorithm for tractor path-tracking control.Abstract. The performance of path-tracking control systems for autonomous tractors affects the quality and efficiency of farmland operations. The objective of this study was to develop a path-tracking control algorithm based on lateral deviation and yaw rate feedback. The autonomous tractor path lateral dynamics model was developed based on preview theory and a two-degree-of-freedom tractor model. According to the established dynamic model, a path-tracking control algorithm using yaw angular velocity correction was designed, and the ideal steering angle was obtained by lateral deviation and sliding mode control. The modified steering angle was obtained by a proportional-integral-derivative feedback controller after comparing the ideal yaw rate with the actual yaw rate, which was then combined with the ideal steering angle to obtain the desired steering angle. The simulation and experimental results demonstrate the efficiency and superior accuracy of the proposed tractor path-tracking control algorithm, enabling its application in automatic navigation control systems for autonomous tractors. Keywords: Autonomous tractor, Path-tracking control, Sliding mode control, Yaw rate feedback.

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