Vehicle localization using mono-camera and geo-referenced traffic signs

By Xiaozhi Qu, Bahman Soheilian, Nicolas Paparoditis. 2015

90 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

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

In Aerospace Engineering

1. Kazuya Takeda
2. Ekim Yurtsever
3. Alexander Carballo
4. Jacob Lambert
5. Yoshiki Ninomiya
6. Naoki Akai
7. Luis Yoichi Morales Saiki
8. Yuki Yoshihara

In Computer Vision and Pattern Recognition

1. Ekim Yurtsever
2. Alexander Carballo
3. Jacob Lambert
4. Kazuya Takeda
5. Yoshiki Ninomiya
6. Eijiro Takeuchi
7. Shinpei Kato
8. Martin Magnusson

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “Another vision based method with a single camera and geo-referenced traffic signs was presented in [117].”
• Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, unknown): “Other than Street View imagery, in [207], the authors show that it is possible to consider traffic signs as geo-referenced landmarks coming from existing maps.”
• Robust localization using 3D NDT scan matching with experimentally determined uncertainty and road marker matching (2017, methodology): “Localization methods using these objects have been previously proposed [2], [3], [4], [5], [6].”