Autonomous Driving Path Planning based on Sarsa-Dyna Algorithm
نویسندگان
چکیده
منابع مشابه
Cellular Automata Based Path-planning Algorithm for Autonomous Mobile Robots
This paper presents the application of Cellular Automata (CA) model in solving the problem of path planning. It is shown that a CA allows the efficient computation of a path from an initial to a goal configuration on a physical space cluttered with obstacles. The cellular space represents a discrete version of the workspace. The method was experimentally tested on an autonomous mobile robot on ...
متن کاملAnt Colony Based Path Planning Algorithm for Autonomous Robotic Vehicles
The requirement of an autonomous robotic vehicles demand highly efficient algorithm as well as software. Today’s advanced computer hardware technology does not provide these types of extensive processing capabilities, so there is still a major space and time limitation for the technologies that are available for autonomous robotic applications. Now days, small to miniature mobile robots are req...
متن کاملPath Planning for Autonomous Driving in Unknown Environments
We describe a practical path-planning algorithm that generates smooth paths for an autonomous vehicle operating in an unknown environment, where obstacles are detected online by the robot’s sensors. This work was motivated by and experimentally validated in the 2007 DARPA Urban Challenge, where robotic vehicles had to autonomously navigate parking lots. Our approach has two main steps. The firs...
متن کاملPractical Search Techniques in Path Planning for Autonomous Driving
We describe a practical path-planning algorithm that generates smooth paths for an autonomous vehicle operating in an unknown environment, where obstacles are detected online by the robot’s sensors. This work was motivated by and experimentally validated in the 2007 DARPA Urban Challenge, where robotic vehicles had to autonomously navigate parking lots. Our approach has two main steps. The firs...
متن کاملPSO-Based Path Planning Algorithm for Humanoid Robots Considering Safety
In this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses Ferguson splines and PSO (Particle Swarm Optimization). The objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. Ferguson splines create preliminary paths using random generated para...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Asia-pacific Journal of Convergent Research Interchange
سال: 2020
ISSN: 2508-9080,2671-5325
DOI: 10.47116/apjcri.2020.07.06