Two-Stage Obstacle Detection Based on Stereo Vision in Unstructured Environment

Zhang, Yi; Xu, Xiangyang; Lu, Hanqing

doi:10.1109/ihmsc.2014.49

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…Zhang et al [ 42 ] provided a faster detection method using stereo images. The detection method has two stages.…”

Section: Positive Obstacles Detection and Analysismentioning

confidence: 99%

“…The detection method has two stages. In the first stage, it rapidly identifies the easily visible obstacles, and then in the second stage, it uses space-variant resolution (SVR) [ 42 ] to improve small obstacle detection. SVR is an algorithm that analyzes the geometric features and the level of interest in each area.…”

Section: Positive Obstacles Detection and Analysismentioning

confidence: 99%

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Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review

Islam¹,

Nabi²,

Ball³

2022

Sensors

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When it comes to some essential abilities of autonomous ground vehicles (AGV), detection is one of them. In order to safely navigate through any known or unknown environment, AGV must be able to detect important elements on the path. Detection is applicable both on-road and off-road, but they are much different in each environment. The key elements of any environment that AGV must identify are the drivable pathway and whether there are any obstacles around it. Many works have been published focusing on different detection components in various ways. In this paper, a survey of the most recent advancements in AGV detection methods that are intended specifically for the off-road environment has been presented. For this, we divided the literature into three major groups: drivable ground and positive and negative obstacles. Each detection portion has been further divided into multiple categories based on the technology used, for example, single sensor-based, multiple sensor-based, and how the data has been analyzed. Furthermore, it has added critical findings in detection technology, challenges associated with detection and off-road environment, and possible future directions. Authors believe this work will help the reader in finding literature who are doing similar works.

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“…Zhang et al [ 42 ] provided a faster detection method using stereo images. The detection method has two stages.…”

Section: Positive Obstacles Detection and Analysismentioning

confidence: 99%

Section: Positive Obstacles Detection and Analysismentioning

confidence: 99%

Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review

Islam¹,

Nabi²,

Ball³

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…BCI is an unconventional communication system which enables users to translate brain activity, measured by an EEG device into a control signal. A brain-computer interface acquires brain signals, analyses them and converts them into electrical or digital signals which then can be used by a machine [2], [3], [5].…”

Section: Structure Of Bcimentioning

confidence: 99%

“…BCl's are the only means of inferring user intent through direct measures of neural activity, typically via EEG signals [2]. A BCI system is designed to translate EEG signals from neural activity reflection to user action via system hardware and software [3], [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Brain Operated Wheelchair System

Manvi

Masood

Mohanchandra³

2020

ijai

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This paper predominantly explains the use of a simplistic uni-polar device to obtain EEG for the development of a Brain-Computer Interface (BCI). In contrast, BCI's eye-blinking stimuli can also be obtained. Consequently, focus and eye-blinking stimuli can be captured as control pulses in electric wheelchairs via a computer interface and electrical interface. This survey paper aims to provide a feasible solution to integrate a Brain-Computer Interface (BCI) with automated identification and avoidance of obstacles. The automated obstacle detection and avoidance system aims to provide a way to easily detect obstacles and easily correct the course.

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“…EV applications are diverse, and implementation ranges from entertainment interaction systems, such as video games [ 4 ] and virtual reality systems [ 5 , 6 ], to human assistance tools, like robots and other autonomous devices [ 7 ]. In the automotive industry, embedded sensors-based systems are commonly focused on challenging tasks like pedestrian detection [ 8 ], lane departure prevention [ 9 , 10 ] or obstacle detection [ 11 ]. In the smart surveillance field, computer vision is used as a video analysis accelerator.…”

Section: Introductionmentioning

confidence: 99%

A Linked List-Based Algorithm for Blob Detection on Embedded Vision-Based Sensors

Acevedo-Avila

González-Mendoza

García-García

2016

Sensors

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Blob detection is a common task in vision-based applications. Most existing algorithms are aimed at execution on general purpose computers; while very few can be adapted to the computing restrictions present in embedded platforms. This paper focuses on the design of an algorithm capable of real-time blob detection that minimizes system memory consumption. The proposed algorithm detects objects in one image scan; it is based on a linked-list data structure tree used to label blobs depending on their shape and node information. An example application showing the results of a blob detection co-processor has been built on a low-powered field programmable gate array hardware as a step towards developing a smart video surveillance system. The detection method is intended for general purpose application. As such, several test cases focused on character recognition are also examined. The results obtained present a fair trade-off between accuracy and memory requirements; and prove the validity of the proposed approach for real-time implementation on resource-constrained computing platforms.

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Two-Stage Obstacle Detection Based on Stereo Vision in Unstructured Environment

Cited by 11 publications

References 11 publications

Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review

Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review

Brain Operated Wheelchair System

A Linked List-Based Algorithm for Blob Detection on Embedded Vision-Based Sensors

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