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A study on the prediction of driver's pedestrian detectability considering characteristics of human fields-of-view while driving
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ryunosuke, Tanishige Keisuke, Doman Daisuke, Deguchi Yoshito, Mekada Ichiro, Ide Hiroshi, Murase |
| Copyright Year | 2015 |
| Abstract | Recently, advances in pedestrian detection technology have resulted in the development of driving assistance systems that notify the drivers of the presence of pedestrians. However, warning of all existing pedestrians would interfere with the driver’s concentration. Therefore, it is necessary to develop a method to predict the detectability of a pedestrian by the driver. This report proposes a method that predicts the pedestrian detectability considering the characteristics of human fields-of-view. In order to predict the pedestrian detectability precisely, the proposed method constructs a predictor specific to each fields-of-view. Comparison between the output of the proposed method and the ground-truth of pedestrian detectability showed that the proposed method significantly reduced the prediction error in comparison with the existing methods. |
| Starting Page | 223 |
| Ending Page | 228 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Volume Number | 114 |
| Alternate Webpage(s) | http://www.murase.m.is.nagoya-u.ac.jp/~ide/res/paper/J14-kenkyukai-tanishiger-1pub.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
