Fig 6 - available via license: Creative Commons Attribution 4.0 International
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(a) Coordinate geometry system presentation for POI (region containing accident-prone features) and driver's forehead (b) Hardware setup for the camera (bearing sensor), Kinect v2 (driver head coordinate sensing) and laser projection for windshield as a notification screen.
Source publication
In urban cities, visual information along and on roadways is likely to distract drivers and leads to missing traffic signs and other accident-prone features. As a solution to avoid accidents due to missing these visual cues, this paper proposes a visual notification of accident-prone features to drivers, based on real-time images obtained via dashc...
Contexts in source publication
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... over accident-prone features in hotspots. The windshield patch is defined as the contour drawn on the windshield panel at the point of intersection of the line joining the driver's forehead coordinate in the direction of the POI region. Given the geometry of the windshield, bearing angle of POI, and forehead coordinate of the driver, as shown in Fig. 6 (a), windshield patch intersection coordinate ( í µí± í µí± , í µí± í µí± , Z í µí± ) can be calculated with respect to reference coordinate (í µí± í µí± , í µí± í µí± , Z í µí± ) and origin (O í µí± ) as presented in [4]. To find the patch on the windshield, coordinates of driver forehead and bearing angles of the POI need to ...
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... available at [52]. The bearing angle of the centroid of the areas with accident-prone feature needs to be calculated. For that, a camera capturing the road view is used as a bearing sensor with the known camera parameters like perspective angle and resolution at the plane coordinated byí µí±¥ and í µí±¦. Angles formed by centroid of POI (POI in Fig. 6(a))) with respect to the camera, e.g., í µí»¼í µí±¥ and í µí»¼í µí±¦ in Fig. 6(a), are calculated as in [53,54]. Hardware setup along with coordinate geometry is presented in Fig. 6. The camera and the Kinect v2 are assumed to be in the same position (see, Fig. ...
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... feature needs to be calculated. For that, a camera capturing the road view is used as a bearing sensor with the known camera parameters like perspective angle and resolution at the plane coordinated byí µí±¥ and í µí±¦. Angles formed by centroid of POI (POI in Fig. 6(a))) with respect to the camera, e.g., í µí»¼í µí±¥ and í µí»¼í µí±¦ in Fig. 6(a), are calculated as in [53,54]. Hardware setup along with coordinate geometry is presented in Fig. 6. The camera and the Kinect v2 are assumed to be in the same position (see, Fig. ...
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... sensor with the known camera parameters like perspective angle and resolution at the plane coordinated byí µí±¥ and í µí±¦. Angles formed by centroid of POI (POI in Fig. 6(a))) with respect to the camera, e.g., í µí»¼í µí±¥ and í µí»¼í µí±¦ in Fig. 6(a), are calculated as in [53,54]. Hardware setup along with coordinate geometry is presented in Fig. 6. The camera and the Kinect v2 are assumed to be in the same position (see, Fig. ...
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... the plane coordinated byí µí±¥ and í µí±¦. Angles formed by centroid of POI (POI in Fig. 6(a))) with respect to the camera, e.g., í µí»¼í µí±¥ and í µí»¼í µí±¦ in Fig. 6(a), are calculated as in [53,54]. Hardware setup along with coordinate geometry is presented in Fig. 6. The camera and the Kinect v2 are assumed to be in the same position (see, Fig. ...
