The DriveU Traffic Light Dataset: Introduction and Comparison with Existing Datasets

By A. Fregin, Julian Müller, Ulrich Krebel, Klaus C. J. Dietmayer. 2018

62 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Andreas Geiger
2. Axel Sauer
3. Kashyap Chitta

In Computer Vision and Pattern Recognition

1. Axel Sauer
2. Katja Schwarz
3. Andreas Geiger
4. Luc Van Gool
5. Richard Zhang
6. Ming-Hsuan Yang
7. Eli Shechtman
8. Andrea Vedaldi

In Environmental Engineering

1. Axel Sauer
2. Andreas Geiger

In Evaluation & Benchmarks

1. Axel Sauer
2. Katja Schwarz
3. Andreas Geiger
4. Raquel Urtasun
5. Sanja Fidler
6. Vladlen Koltun
7. Stefan Roth
8. Binh Yang

Citations in the corpus

• StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets (2022, background): “Current large-scale, high-resolution datasets are of single object classes or contain many similar images [Fregin et al. 2018; Perot et al. 2020; Zhang et al. 2020].”
• YOLO-based Object Detection Models: A Review and its Applications (2024, unknown): “When creating the dataset, a few variables are carefully taken into account for the inclusion and exclusion of samples, including lighting, orientation, pose, and the type of environment (rainy, sunny, daytime, or nighttime) [25, 26].”