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Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review
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 …
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
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 …
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
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 …
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 …
Patents US10198942B2 - Traffic routing display system with multiple signal lookahead …
Traffic light recognition exploiting map and localization at every stage
Traffic light recognition is being intensively researched for the purpose of reducing traffic
accidents at intersections and realizing autonomous driving. However, conventional vision …
accidents at intersections and realizing autonomous driving. However, conventional vision …
Traffic light recognition based on binary semantic segmentation network
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 …
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 …
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 …
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 …
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 …
detection systems traffic lights constitute important objects that have some specialties in …