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Advisor(s)
Abstract(s)
Artificial Intelligence has been introduced in many
applications, namely in artificial vision-based systems with object
detection tasks. This paper presents an object localization system
with a motivation to use it in autonomous mobile robots at
robotics competitions. The system aims to allow robots to accomplish
their tasks more efficiently. Object detection is performed
using a camera and artificial intelligence based on the YOLOv4
Tiny detection model. An algorithm was developed that uses the
data from the system to estimate the parameters of location,
distance, and orientation based on the pinhole camera model and
trigonometric modelling. It can be used in smart identification
procedures of objects. Practical tests and results are presented,
constantly locating the objects and with errors between 0.16 and
3.8 cm, concluding that the object localization system is adequate
for autonomous mobile robots.
Description
Keywords
Robotic competitions Autonomous mobile robots Object detection Artificial intelligence
Citation
Pilarski, Leonardo; Luiz, Luiz E.; Braun, João; Nakano, Alberto Yoshiro; Pinto, Vítor H.; Costa, Paulo Gomes da; Lima, José (2023). An AI-based object detection approach for robotic competitions. In 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 19-21 July 2023, Tenerife. p. 1-6. ISBN 979-8-3503-2297-2
Publisher
IEEE