The evolution of the PAPRICA system
Integrated Computer-Aided Engineering
Accuracy vs efficiency trade-offs in optical flow algorithms
Computer Vision and Image Understanding
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Configurable 3D-integrated focal-plane cellular sensor–processor array architecture
International Journal of Circuit Theory and Applications - Cellular Wave Computing Architecture
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion
IEEE Transactions on Intelligent Transportation Systems
Hi-index | 0.00 |
The automotive industry invests substantial amounts of money in driver-security and driver-assistance systems. We propose an overtaking detection system based on visual motion cues that combines feature extraction, optical flow, solid-objects segmentation and geometry filtering, working with a low-cost compact architecture based on one focal plane and an on-chip embedded processor. The processing is divided into two stages: firstly analog processing on the focal plane processor dedicated to image conditioning and relevant image-structure selection, and secondly, vehicle tracking and warning-signal generation by optical flow, using a simple digital microcontroller. Our model can detect an approaching vehicle (multiple-lane overtaking scenarios) and warn the driver about the risk of changing lanes. Thanks to the use of tightly coupled analog and digital processors, the system is able to perform this complex task in real time with very constrained computing resources. The proposed method has been validated with a sequence of more than 15,000 frames (90 overtaking maneuvers) and is effective under different traffic situations, as well as weather and illumination conditions.