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Multi-Modal Image Segmentation for Obstacle Detection and Masking Univ. of Detroit Mercy
- Format:
- Conference/Event
- Author/Creator:
- Lee, Lee, author.
- Conference Name:
- SAE 2014 World Congress & Exhibition (2014-04-08 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2014
- Summary:
- AbstractA novel multi-modal scene segmentation algorithm for obstacle identification and masking is presented in this work. A co-registered data set is generated from monocular camera and light detection and ranging (LIDAR) sensors. This calibrated data enables 3D scene information to be mapped to time-synchronized 2D camera images, where discontinuities in the ranging data indicate the increased likelihood of obstacle edges. Applications include Advanced Driver Assistance Systems (ADAS) which address lane-departure, pedestrian protection and collision avoidance and require both high-quality image segmentation and computational efficiency. Simulated and experimental results that demonstrate system performance are presented
- Notes:
- Vendor supplied data
- Publisher Number:
- 2014-01-0164
- Access Restriction:
- Restricted for use by site license
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