Results 251 to 260 of about 454,265 (301)
Assessing and predicting crash dynamics with and without road safety measures on the Dejen to Bahir Dar highway in Ethiopia. [PDF]
Geremew G.
europepmc +1 more source
Attention to detail: A conditional multi-head transformer for traffic sign recognition. [PDF]
Naz I +5 more
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Intelligent Sensors for Smart and Autonomous Vehicles. [PDF]
Barabás I, Iclodean C, Zöldy M.
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Risky Driving Behaviours and Their Association With Fracture Injury Severity in Road Traffic Accident Patients. [PDF]
Umar Z +10 more
europepmc +1 more source
Traffic sign detection method based on improved YOLOv8. [PDF]
Wang G, Jin P, Qi Z, Li X.
europepmc +1 more source
TSD-Net: A Traffic Sign Detection Network Addressing Insufficient Perception Resolution and Complex Background. [PDF]
Ma C, Liu C, Deng L, Xu P.
europepmc +1 more source
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2011
To detect and classify objects contained in real images, acquired in unconstrained environments, is a challenging problem in computer vision, which complexity makes unfeasible the design of handcrafted solutions. In this chapter, the object detection problem is introduced, highlighting the main issues and challenges, and providing a basic introduction ...
Sergio Escalera +4 more
openaire +1 more source
To detect and classify objects contained in real images, acquired in unconstrained environments, is a challenging problem in computer vision, which complexity makes unfeasible the design of handcrafted solutions. In this chapter, the object detection problem is introduced, highlighting the main issues and challenges, and providing a basic introduction ...
Sergio Escalera +4 more
openaire +1 more source
2017
Object detection is one of the hard problems in computer vision. It gets even harder in time demanding tasks such as ADAS. In this chapter, we explained a convolutional neural network that is able to analyze high-resolution images in real time and it accurately finds traffic signs.
Hamed Habibi Aghdam, Elnaz Jahani Heravi
openaire +1 more source
Object detection is one of the hard problems in computer vision. It gets even harder in time demanding tasks such as ADAS. In this chapter, we explained a convolutional neural network that is able to analyze high-resolution images in real time and it accurately finds traffic signs.
Hamed Habibi Aghdam, Elnaz Jahani Heravi
openaire +1 more source

