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Color and Height Characteristics of Surrogate Grass for the Evaluation of Vehicle Road Departure Mitigation Systems
- Qiang Yi - Indiana University; Purdue University ,
- Dan Shen - Indiana University; Purdue University ,
- Jun Lin - Indiana University; Purdue University ,
- Stanley Chien - Indiana University; Purdue University ,
- Lingxi Li - Indiana University; Purdue University ,
- Yaobin Chen - Indiana University; Purdue University ,
- Rini Sherony - Toyota Motor Corp.
Journal Article
2019-01-1026
ISSN: 2641-9637, e-ISSN: 2641-9645
Sector:
Citation:
Yi, Q., Shen, D., Lin, J., Chien, S. et al., "Color and Height Characteristics of Surrogate Grass for the Evaluation of Vehicle Road Departure Mitigation Systems," SAE Int. J. Adv. & Curr. Prac. in Mobility 1(4):1461-1469, 2019, https://doi.org/10.4271/2019-01-1026.
Language:
English
Abstract:
In recent years Road Departure Mitigation Systems (RDMS) is introduced to the market for avoiding roadway departure collisions. To support the performance testing of the RDMS, the most commonly seen road edge, grass, is studied in this paper for the development of standard surrogate grass. This paper proposes a method for defining the resembling grass color and height features due to significant variations of grass appearances in different seasons, temperatures and environments. Randomly selected Google Street View images with grass road edges are gathered and analyzed. Image processing techniques are deployed to obtain the grass color distributions. The height of the grass is determined by referencing the gathered images with measured grass heights. The representative colors and heights of grass are derived as the specifications of surrogate grass for the standard evaluation of RDMS.
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