Commenced in January 2007
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Edition: International
Paper Count: 86319
Trajectory Planning Algorithms for Autonomous Agricultural Vehicles
Authors: Caner Koc, Dilara Gerdan Koc, Mustafa Vatandas
Abstract:
The fundamental components of autonomous agricultural robot design, such as having a working understanding of coordinates, correctly constructing the desired route, and sensing environmental elements, are the most important. A variety of sensors, hardware, and software are employed by agricultural robots to find these systems.These enable the fully automated driving system of an autonomous vehicle to simulate how a human-driven vehicle would respond to changing environmental conditions. To calculate the vehicle's motion trajectory using data from the sensors, this automation system typically consists of a sophisticated software architecture based on object detection and driving decisions. In this study, the software architecture of an autonomous agricultural vehicle is compared to the trajectory planning techniques.Keywords: agriculture 5.0, computational intelligence, motion planning, trajectory planning
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