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Obstacle Detection Surrounding a Moving Object with Fisheye Camera and Circle Line Laser Light

Shiyuan Yang, Ryota Matsuo, Seiichi Serikawa

Year
2022
Citations
3

Abstract

The purpose of this study is to suggest a new method that can easily detect obstacles surrounding by use of a circle line laser and fisheye camera. This system can be attached to a mobile robot, and obstacle detection can be taken in real time while moving. Conventional obstacle detection methods are widely used such as using ultrasonic sensors to detect the presence or absence of obstacles by transmitting ultrasonic waves from a transmitter and receiving the ultrasonic waves reflected by an object at the receiver. Also obstacle detection method using LiDAR uses remote sensing technology to detect obstacles and measure distances. Our proposed method is a different obstacle detection method that can detect obstacles surrounding with large range easily. We show the system construction by use of a circle line laser and fisheye camera and obstacle detection experimental results.

Keywords

ObstacleComputer visionArtificial intelligenceUltrasonic sensorComputer scienceObject detectionLidarLaserLine (geometry)Acoustics

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