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Multiple-parts Based Vehicle Detection Integrated with Lane Detection

詳細技術說明: On-road vehicle detection and lane detection are critical tasks in vision-based active safety systems for vehicles. UCSD Inventors have come up with a robust and efficient computational method for allowing a car to detect other cars and lanes (from lane markers). By focusing on computational efficiency - while maintaining effective sensitivity and specificity for car and lane detection - this invention meets an important requirement for embedded realization of such systems for in-vehicle electronic systems. Also, with emerging hybrid and electric vehicles that rely on battery power, it is important that advanced driver assistance systems are designed such that they are power efficient.

*Principal Investigation: Name: Ravi Satzoda
Department:

Name: Mohan Trivedi
Department:

其他: Related Materials
On Performance Evaluation Metrics for. Lane Estimation. Ravi Kumar Satzoda and Mohan M. Trivedi. Laboratory for Intelligent and Safe Automobiles.
Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization. Ravi Kumar Satzoda and Mohan M. Trivedi.
Overtaking & Receding Vehicle Detection for Driver Assistance and Naturalistic Driving Studies, Ravi Kumar Satzoda and Mohan M. Trivedi. IEEE Conference on Intelligent Transportation Systems, Oct. 2014

Tech ID/UC Case
25723/2014-316-0

Related Cases
2014-316-0

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