Full text
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| Author(s): |
Marcos Gomes Prado
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2013-03-01 |
| Examining board members: |
Denis Fernando Wolf;
Valdir Grassi Junior;
Adriane Beatriz de Souza Serapião
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| Advisor: | Denis Fernando Wolf |
| Abstract | |
Autonomous navigation is one of the fundamental problems in mobile robotics. This problem has been addressed for decades and still has great potential for scientific research. Most solutions and algorithms developed in this field is designed for robots that operate in structured environments. However, another issue of great interest to researchers in this area is autonomous navigation in outdoor environments. In partially structured environments autonomous vehicles (large robots) must be able to avoid obstacles that may arise along the way. This dissertation addresses the development of an intelligent system able to generate and run a path planning for parking of autonomous vehicles in semi-structured environments. The system is able to recognize parking lots using sensors installed in the vehicle, generate a valid path that leads up to the parking lot and send the steering commands and acceleration that to guide the vehicle to its goal point (AU) | |
| FAPESP's process: | 11/03338-7 - Path planning for autonomous vehicles parking |
| Grantee: | Marcos Gomes Prado |
| Support Opportunities: | Scholarships in Brazil - Master |