A vision-based obstacle detection system for parking assistance

Lin, Yu‐Chen; Lin, Chien-Chung; Liu, Weicheng; Chen, Long-Tai

doi:10.1109/iciea.2013.6566629

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…The result of obstacle detection has a high success rate of 90% but due to the high processing power and computation capability is required by the YOLOv3, the cost to obtain the required processing hardware will not be affordable. Another study conducted by [12] to perform obstacle detection also used a similar approach with a rear-view camera, but they utilised an easier algorithm by comparing the differences between regions of interest (ROI) of frames from the video recorded by the camera which reduced the load of computation and hardware requirements. However, camera is affected by the lighting conditions of the environment as they are prone to being noisy and suffering from reduced image quality under low lighting environment conditions which affects the accuracy and performance of the obstacle detection system.…”

Section: A Methods and Sensor To Perform Obstacle Detectionmentioning

confidence: 99%

A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Ang,

Min

2024

IJORAS

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Obstacle detection system is a system that reacts to the object in the path and perform action such as stopping robot movement and collision prevention according to the design of algorithm which enhance the safety level of robot. This paper examines the overview of sensor technology that associates with obstacle detection system and car-like robot. This review summarizes the effectiveness and weakness of common type of sensors such as lidar, radar, ultrasonic sensor, infrared sensor, computer vision, sensor fusion and sensor array. This paper will also discuss on control methods for car-like robot that includes hand gestures, voice control, infrared remote control, Android based Bluetooth mobile control, and Wi-Fi based mobile control, outlining the effectiveness and limitation of each control method.

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Section: A Methods and Sensor To Perform Obstacle Detectionmentioning

confidence: 99%

A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Ang,

Min

2024

IJORAS

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Road Obstacle Detection Based on Randomized Hough Transform

Lv¹,

Shang²,

Ding³

2014

Proceedings of the 2nd International Conference on Teaching and Computational Science

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Road obstacle detection is the core of pedestrian safety. As an effective image object detection method, Hough transform can detect straight lines, circles, ellipses, parabolas, and many other analytical graphics. This paper mainly detects bar deceleration strips and round well covers, owing to obvious linear features. Therefore, randomized Hough transform is applied to detect roadblocks to ensure pedestrian safety, improving the detection efficiency compared to the classical Hough transform in this article.

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Obstacle Detection Techniques in Outdoor Environment: Process, Study and Analysis

Singh¹,

Kaur²

2017

IJIGSP

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Abstract-Obstacle detection is the process in which the upcoming objects in the path are detected and collision with them is avoided by some sort of signalling to the visually impaired person. In this review paper we present a comprehensive and critical survey of Image Processing techniques like vision based, ground plane detection, feature extraction, etc. for detecting the obstacles. Two types of vision based techniques namely (a) Monocular vision based approach (b) Stereo Vision based approach are discussed. Further types of above described approaches are also discussed in the survey. Survey discusses the analysis of the associated work reported in literature in the field of SURF and SIFTS features, monocular vision based approaches, texture features and ground plane obstacle detection.

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A vision-based obstacle detection system for parking assistance

Cited by 3 publications

References 15 publications

A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Road Obstacle Detection Based on Randomized Hough Transform

Obstacle Detection Techniques in Outdoor Environment: Process, Study and Analysis

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