Sensor Fusion-Based Low-Cost Vehicle Localization System for Complex Urban Environments
By Jae Kyu Suhr, J. Jang, D. Min, Ho Gi Jung. 2017
149 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Automotive 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
- Francis Mccullough
- A. Mouzakitis
- Kazuya Takeda
- Alexander Carballo
- Mehrdad Dianati
- Ekim Yurtsever
- Saber Fallah
- Sampo Kuutti
In Automotive Engineering
- Jacob Lambert
- Alexander Carballo
- Ekim Yurtsever
- Kazuya Takeda
- A. Mouzakitis
- Mehrdad Dianati
- Saber Fallah
- Sampo Kuutti
In Computer Vision and Pattern Recognition
- Ekim Yurtsever
- Alexander Carballo
- Jacob Lambert
- A. Mouzakitis
- Kazuya Takeda
- Mehrdad Dianati
- Saber Fallah
- Sampo Kuutti
Citations in the corpus
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “A vision based roadmarking detection method was introduced in [115].”
- A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications (2018, methodology): “[30] extended the method proposed [29] by the use of cameras”
- A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research (2019, methodology): “Another example is the location of a vehicle in urban areas by fusing the data and a PF as shown in [44].”