University of California

Ravi Kumar Satzoda

Mohan M Trivedi

Detecting the presence of target vehicles in front of a host vehicle by obtaining, using one or more visual sensors, an image of a field of view in front of a host vehicle and detecting, individually, a plurality of parts of one or more target vehicles in the obtained image. The detected plurality of parts, of the one or more target vehicles, are extracted from the obtained image and paired to form a complete target vehicle from the plurality of parts. The pairing is only performed on selective individual parts that overlap and have similar sizes indicating that they belong to the same target vehicle. A complete target vehicle is detected in response to forming a substantially complete target vehicle.

Multiple-parts based vehicle detection integrated with lane detection for improved computational efficiency and robustness

A driver assistance system including at least a first camera. The first camera can be configured to obtain image data of a region external to the host vehicle. Lane detection analysis can be performed on the image data to identify a region of interest in the image data. The region of interest can be divided into portions. Each portion can be analyzed to determine whether it includes the characteristics of an under-vehicle region. When an under-vehicle region is detected a portion of the image adjacent an under-vehicle region can be analyzed to determine whether it includes an image of another vehicle. A distance between the another vehicle and the host vehicle can be determined using the image data. A threat analysis can be performed to provide a level of threat posed by the another vehicle to the host vehicle.

Growing community of inventors

San Diego, CA, United States of America

Ravi Kumar Satzoda