The S2TLD dataset contains five categories (including red, yellow, green, off, and waiting). It covers a wide range of road scenarios, such as busy street scenes, multiple visible traffic lights, and traffic tail lights that may be confused with traffic lights (e.g., large circular tail lights, etc.). A link to the original dataset: https://github.com/Thinklab-SJTU/S2TLD We randomly divided it into new training set, verification set and test set in a ratio close to 7:2:1
<p>An extension of the existing Malaysian Traffic Sign Dataset for traffic sign (TS) detection. This...
The detector of elongated boundaries in the image, such as road marking lines, rails, etc., is an im...
The dataset contains a total of 809 raw images , where 441 images are of red pedestrian light and 36...
The dataset for DATA 2022 paper "Dataset: An Indoor Smart Traffic Dataset and Data Collection System...
Autonomous vehicle technology has been vigorously developed in the last decades with recent advances...
The VisDrone2019 dataset is collected by the AISKYEYE team at the Lab of Machine Learning and Data M...
In this work, we introduce a transformation-based approach, namely SCTrans, which utilizes existing ...
To resolve the issues of a deep backbone network, a large model, slow reasoning speed on a mobile te...
U.S. Transportation Collectionhttps://doi.org/10.7910/DVN/BWCCET2020PDFDatasetMiles, JamesStrybel, T...
Datasets containing 2D images from roads. The images were either rendered from 3D lidar point clouds...
Video data and the tools for automated analysis have a great potential to be used in road traffic re...
# Replication Package ## SDC-Scissor (Self-Driving Car coSt-effeCtIve teSt SelectOR) ### Structur...
This document contains the data of thirteen real-life intersections. This data can be used for the o...
The project needs data for macroscopic statistical modeling, which are OTS rankings and historical c...
Automated vehicles, predicted to be fully electric in future, are expected to reduce road fatalities...
<p>An extension of the existing Malaysian Traffic Sign Dataset for traffic sign (TS) detection. This...
The detector of elongated boundaries in the image, such as road marking lines, rails, etc., is an im...
The dataset contains a total of 809 raw images , where 441 images are of red pedestrian light and 36...
The dataset for DATA 2022 paper "Dataset: An Indoor Smart Traffic Dataset and Data Collection System...
Autonomous vehicle technology has been vigorously developed in the last decades with recent advances...
The VisDrone2019 dataset is collected by the AISKYEYE team at the Lab of Machine Learning and Data M...
In this work, we introduce a transformation-based approach, namely SCTrans, which utilizes existing ...
To resolve the issues of a deep backbone network, a large model, slow reasoning speed on a mobile te...
U.S. Transportation Collectionhttps://doi.org/10.7910/DVN/BWCCET2020PDFDatasetMiles, JamesStrybel, T...
Datasets containing 2D images from roads. The images were either rendered from 3D lidar point clouds...
Video data and the tools for automated analysis have a great potential to be used in road traffic re...
# Replication Package ## SDC-Scissor (Self-Driving Car coSt-effeCtIve teSt SelectOR) ### Structur...
This document contains the data of thirteen real-life intersections. This data can be used for the o...
The project needs data for macroscopic statistical modeling, which are OTS rankings and historical c...
Automated vehicles, predicted to be fully electric in future, are expected to reduce road fatalities...
<p>An extension of the existing Malaysian Traffic Sign Dataset for traffic sign (TS) detection. This...
The detector of elongated boundaries in the image, such as road marking lines, rails, etc., is an im...
The dataset contains a total of 809 raw images , where 441 images are of red pedestrian light and 36...