Visual Object Detection for Mobile Road Sign Inventory

Seifert, Christin; Paletta, Lucas; Jeitler, Andreas; Hödl, Evelyn; Andreu, Jean‐Philippe; Luley, Patrick; Almer, Alexander

doi:10.1007/978-3-540-28637-0_63

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…Seifert et al [17] propose a system that utilizes object recognition and GPS on a mobile device for taking an inventory of traffic signs. The algorithm for sign recognition takes advantage of the fact that traffic signs have obvious shapes and patterns which are known in advance.…”

Section: Related Workmentioning

confidence: 99%

Garment Image Retrieval on the Web with Ubiquitous Camera-Phone

Liu

Xiong

et al. 2008

2008 IEEE Asia-Pacific Services Computing Conference

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Content-based image retrieval (CBIR) on the Web is anactive research topic in recent years. However, a common problem for the content-based search is the difficulty for getting a query image, which dramatically limits the popularity of their application. The ubiquity of camera phones has opened up a new avenue for image-based mobile search and it also gives new challenges. In this paper, a domainspecific CBIR system on the Web with mobile camera-phone is proposed, which further extends our previous work on VAST system and focuses on the specific garment images. It makes full use of the camera-phone's ability that captures and views images anywhere. The key problems related to the wireless network and media characteristics, system usability and users expectations are depicted. The system architecture and flowchart are described also. Based on these, a prototype is implemented.

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Section: Related Workmentioning

confidence: 99%

Garment Image Retrieval on the Web with Ubiquitous Camera-Phone

Liu

Xiong

et al. 2008

2008 IEEE Asia-Pacific Services Computing Conference

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“…Global Positioning Systems (GPS) together with a vision system have been used for traffic sign inventory as in [6] and [9]. However such integration has not been done for speed limit detection at the present time.…”

Section: Related Workmentioning

confidence: 99%

Augmenting GPS speed limit monitoring with road side visual information

Eichner

Breckon

2008

IET Road Transport Information and Control Conference and the ITS United Kingdom Members' Conference (RTIC 2008)

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Frequently drivers fail to be aware of the current speed limit at any given moment in time. Present commercial GPS navigation systems have functionality to warn drivers about speeding on the basis of the road type information stored in the map. Unfortunately any temporary restrictions (e.g. caused by road works) are not taken into account. The system we propose here combines advantages of GPS and an optic sensor for reliable current speed limit monitoring. Our solution was initially developed as standalone vision system presented in details in [3], although integrating it together with GPS navigation adds new features and allows correct operation in majority of European countries. Our vision system includes the detection and recognition of both numerical limit and national limit (cancellation) signs. The system utilizes RANSACbased colour-shape detection of speed limit signs and neural network based recognition.

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“…Besides the factor that rapid increment of vehicle amount, road sign is another key factor for traffic. Road signs are used to regulate traffic, warn drivers, and provide useful information to help make driving safe and convenient [3,4]. National guidelines set the detailed rules about the classification, appearance of road signs and where and how to install.…”

Section: Introductionmentioning

confidence: 99%

Using Semantic Technology for Automatic Verification of Road Signs

Liu

Huang

et al. 2014

Web Information Systems Engineering – WISE 2013 Workshops

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Abstract. Road signs play an important role in traffic. The transportation authorities have published some guidelines and regulations about the design and implementation of road signs. However, along with rapid development of road networks, existing road sign system faces with the problem of constantly revision and update. In the paper we propose a semantic approach to check if existing road signs abide the guidelines. The main advantage of the semantic technology is that the verification of road signs can be achieved by automatic reasoning and data processing services provided by a semantic system. We have integrated multi-source geographic data and developed a semantically-enabled road sign management system, which is built on the top of the LarKC, a platform for scalable semantic data processing. The experiments show that our system can successfully find the road signs which are set improperly.

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Visual Object Detection for Mobile Road Sign Inventory

Cited by 14 publications

References 6 publications

Garment Image Retrieval on the Web with Ubiquitous Camera-Phone

Garment Image Retrieval on the Web with Ubiquitous Camera-Phone

Augmenting GPS speed limit monitoring with road side visual information

Using Semantic Technology for Automatic Verification of Road Signs

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