Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review

D Sirohi, N Kumar, PS Rana - Computer Communications, 2020 - Elsevier
Abstract Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and
safety to the end users by using various models and techniques most of which are based on …

Vision for looking at traffic lights: Issues, survey, and perspectives

MB Jensen, MP Philipsen, A Møgelmose… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

Traffic light recognition with high dynamic range imaging and deep learning

JG Wang, LB Zhou - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Traffic light recognition (TLR) detects the traffic light from an image and then estimates the
state of the light signal. TLR is important for autonomous vehicles because running against a …

Traffic routing display system with multiple signal lookahead

ML Ginsberg, PJ Flier, MC Drohmann… - US Patent …, 2019 - Google Patents
US10198942B2 - Traffic routing display system with multiple signal lookahead - Google
Patents US10198942B2 - Traffic routing display system with multiple signal lookahead …

Traffic light recognition exploiting map and localization at every stage

C Jang, S Cho, S Jeong, JK Suhr, HG Jung… - Expert Systems with …, 2017 - Elsevier
Traffic light recognition is being intensively researched for the purpose of reducing traffic
accidents at intersections and realizing autonomous driving. However, conventional vision …

Traffic light recognition based on binary semantic segmentation network

HK Kim, KY Yoo, JH Park, HY Jung - Sensors, 2019 - mdpi.com
A traffic light recognition system is a very important building block in an advanced driving
assistance system and an autonomous vehicle system. In this paper, we propose a two …

Three ways of using stereo vision for traffic light recognition

A Fregin, J Müller, K Dietmayer - 2017 IEEE Intelligent Vehicles …, 2017 - ieeexplore.ieee.org
This paper introduces three methods to improve traffic light recognition by using the stereo
camera color image in tandem with the disparity image. The first method is object candidate …

A Bayesian approach to traffic light detection and map**

S Hosseinyalamdary, A Yilmaz - ISPRS journal of photogrammetry and …, 2017 - Elsevier
Automatic traffic light detection and map** is an open research problem. The traffic lights
vary in color, shape, geolocation, activation pattern, and installation which complicate their …

Feature detectors for traffic light recognition

A Fregin, J Müller, K Dietmayer - 2017 IEEE 20th International …, 2017 - ieeexplore.ieee.org
Traffic light recognition belongs to the most difficult topics in the context of autonomous
driving. Most described systems in literature follow a classical object recognition approach …

A closer look on traffic light detection evaluation metrics

A Fregin, K Dietmayer - 2016 IEEE 19th International …, 2016 - ieeexplore.ieee.org
Recognition of traffic lights is of crucial interest for intelligent vehicles. For camera based
detection systems traffic lights constitute important objects that have some specialties in …