Müller Julian, M. Sc.

Research

  • Camera-based Traffic Light Recognition
  • Multi-View Traffic Light Recognition

 Teaching

 

 

DriveU Traffic Light Dataset

The DriveU Traffic Light Dataset (ICRA 2018 contribution) can be downloaded from  https://www.uni-ulm.de/en/in/driveu/projects/traffic-light-data/

Publications


6.
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Fregin, Andreas; Müller, Julian; Kreßel, Ulrich; Dietmayer, Klaus
The DriveU Traffic Light Dataset: Introduction and Comparison with Existing Datasets
IEEE International Conference on Robotics and Automation (ICRA) , page 3376 - 3383.
2018
5.
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Müller, Julian; Fregin, Andreas; Dietmayer, Klaus
Disparity Sliding Window: Object Proposals From Disparity Images
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2018
4.
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Müller, Julian; Dietmayer, Klaus
Detecting Traffic Lights by Single Shot Detection
21st International Conference on Intelligent Transportation Systems (ITSC) , page 266 - 273.
2018
3.
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Fregin, Andreas; Müller, Julian; Dietmayer, Klaus
Three Ways of Using Stereo Vision for Traffic Light Recognition
IEEE Intelligent Vehicles Symposium, IV 2017, Los Angeles, CA, USA, June 11-14, 2017 , page 430 - 436.
2017
2.
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Müller, Julian; Fregin, Andreas; Dietmayer, Klaus
Multi-Camera System for Traffic Light Detection : About Camera Setup and Mapping of Detections
20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017, Yokohama, Japan, October 16-19, 2017 , page 165 - 172.
2017
1.
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Fregin, Andreas; Müller, Julian; Dietmayer, Klaus
Feature Detectors for Traffic Light Recognition
20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017, Yokohama, Japan, October 16-19, 2017 , page 333 - 340.
2017
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Position

Research Assistant

Contact

Müller Julian, M. Sc.
Room: 41.1.219
Phone: +49 (0)731 50 26308
Email | Homepage

Office hours

On appointment