The driveu traffic light dataset: Introduction and comparison with existing datasets
A Fregin, J Muller, U Krebel… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Autonomous driving is a topic in computer vision which has captured a great deal of
attention in recent years. One key problem is the detection and state analysis of traffic lights …
attention in recent years. One key problem is the detection and state analysis of traffic lights …
Classification of road surfaces using convolutional neural network
In this paper a classifier of road surfaces, visible from the front of the car, is presented. It is
intended to use in the driver assistance or the autonomous car systems. The classifier was …
intended to use in the driver assistance or the autonomous car systems. The classifier was …
Fast lane boundary recognition by a parallel image processor
C Premachandra, R Gohara… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Much past research related to road domain detection has focused on lane detection.
Commonly, this is performed by applying edge detection to a road image, then applying a …
Commonly, this is performed by applying edge detection to a road image, then applying a …
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 …
Traffic Light Detection: A cost effective approach
In last couple of decades, the technological advancements in image and video processing
has brought great revolution in our life. Some of the key areas where these advancements …
has brought great revolution in our life. Some of the key areas where these advancements …
How to combine issues related to autonomous vehicles-a proposal with a literature review
J Balcerek, P Pawłowski - 2023 Signal Processing: Algorithms …, 2023 - ieeexplore.ieee.org
This article proposes a model that combines the issues related to autonomous vehicles into
seven groups. The groups are included in mutual iterations between the user, the …
seven groups. The groups are included in mutual iterations between the user, the …
Mobile applications for driver and pedestrian assistance
J Balcerek, K Piniarski, M Urbanek… - 2015 Signal …, 2015 - ieeexplore.ieee.org
In this paper two applications, which fit into the current trend of the development of mobile
devices, are described. The first is designed for the driver and the second for the pedestrian …
devices, are described. The first is designed for the driver and the second for the pedestrian …
Prototyping a traffic light recognition device with expert knowledge
Traffic light detection and recognition (TLR) research has grown every year. In addition,
Machine Learning (ML) has been largely used not only in traffic light research but in every …
Machine Learning (ML) has been largely used not only in traffic light research but in every …
Vision-based mobile application for supporting the user in the vehicle operation
J Balcerek, M Hinc, Ł Jalowski… - 2019 Signal …, 2019 - ieeexplore.ieee.org
In this paper the automatic vision-based mobile application for supporting the vehicle user is
proposed. The system, using the image taken with the typical smartphone camera …
proposed. The system, using the image taken with the typical smartphone camera …
Frequency Maps as Expert Instructions to lessen Data Dependency on Real-time Traffic Light Recognition
Research on Traffic Light Recognition (TLR) has grown in recent years, primarily driven by
the growing interest in autonomous vehicles development. Machine Learning algorithms …
the growing interest in autonomous vehicles development. Machine Learning algorithms …