mlsanityData to 14 Oct 2026

Measuring Natural Scenes SFR of Automotive Fisheye Cameras

arXiv 2401.05232 ↗First posted 10 Jan 2024cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain. However, despite the fact that optical quality has an impact on the performance of computer vision in vehicle automation, for many public datasets, this metric is unknown. Additionally, wide field-of-view (FOV) cameras have become increasingly popular, particularly for low-speed vehicle automation applications. To investigate image quality in datasets, this paper proposes an adaptation of the Natural Scenes Spatial Frequency Response (NS-SFR) algorithm to suit cameras with a wide field-of-view.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 17 references that are in the map. First posted on arXiv 10 Jan 2024.

Builds on

5 of 17 references.

References · 5

  1. 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
  2. 2022Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challengescited by 34
  3. 2022SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Drivingcited by 32
  4. 2021Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Camerascited by 24
  5. 2022A data set providing synthetic and real-world fisheye video sequencescited by 4

Built on by

Cited by year

Citing papers per year: 2024: 1.

1 paper.