Machine learning based traffic light detection and ir sensor based proximity sensing for autonomous cars

SS Rao, SR Desai - … of the International Conference on IoT Based …, 2021 - papers.ssrn.com
In this fast-moving digital world autonomous cars will be a norm in near future. One of the
most critical features of any autonomous car is traffic light detection and recognition. The …

Vision-based traffic light detection for intelligent vehicles

X Du, Y Li, Y Guo, H Xiong - 2017 4th International Conference …, 2017 - ieeexplore.ieee.org
Vision-based traffic light detection has been widely studied over the past decade. However,
it is still a challenging task to build a real-time and robust classifier-based detector without a …

[PDF][PDF] An effective method of head lamp and tail lamp recognition for night time vehicle detection

HK Kim, S Kuk, MK Kim, HY Jung - World Academy of Science …, 2010 - Citeseer
This paper presents an effective method for detecting vehicles in front of the camera-
assisted car during nighttime driving. The proposed method detects vehicles based on …

[HTML][HTML] Real-time lane detection for driver assistance system

T Al Smadi - Circuits and Systems, 2014 - scirp.org
Traffic problem is more serious, as the number of vehicles is growing. Most of the road
accidents were caused by carelessness of drivers. To reduce the number of traffic accidents …

Traffic sign detection and recognition for assistive driving

A Santos, PA Abu, C Oppus… - … Symposium on Multimedia …, 2019 - ieeexplore.ieee.org
The technology behind Advanced Driver Assistance Systems has been continuously
advancing in recent years. This has been made possible by artificial intelligence and …

Vehicle detection and recognition for intelligent traffic surveillance system

Y Tang, C Zhang, R Gu, P Li, B Yang - Multimedia tools and applications, 2017 - Springer
Vehicle detection and type recognition based on static images is highly practical and directly
applicable for various operations in a traffic surveillance system. This paper will introduce …

An end-to-end traffic light detection algorithm based on deep learning

S Yan, X Liu, W Qian, Q Chen - 2021 international conference …, 2021 - ieeexplore.ieee.org
Traffic light detection algorithm, as an important algorithm in automatic driving and assisted
driving tasks, is the focus of research. Because the traffic light is in the complex environment …

Automatic detection of traffic lights using support vector machine

Z Chen, Q Shi, X Huang - 2015 IEEE Intelligent Vehicles …, 2015 - ieeexplore.ieee.org
Many traffic accidents occurred at intersections are caused by drivers who miss or ignore the
traffic signals. In this paper, we present a new method for automatic detection of traffic lights …

Traffic light Detection using OpenCV and YOLO

NH Sarhan, AY Al-Omary - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Traffic lights detection importance is increasing every year as the world is focusing on self-
driven cars. Traffic lights detection is a vital task of any autonomous vehicles to ensure safety …

Methodology based on texture, color and shape features for traffic light detection and recognition

JC da Silva Soares, TB Borchartt… - … joint conference on …, 2018 - ieeexplore.ieee.org
Urban roads are very complex. The increase in the flow of vehicles in the cities has
contributed to traffic accidents. Researches for accident reduction show that the traffic lights …