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Significant progress has been made in recent years using computer programs recognizing objects in images. Meanwhile, many cameras are embedded in battery-powered systems (such as mobile phones, wearable devices, and drones) and energy efficiency is essential. Even though many research papers have been published on the topics related to low power and image recognition, there does not exist a common...
This paper proposes a robust rear-view camera based moving object detection algorithm for backup aid and parking assist applications. A single fish-eye camera is used in order to get much larger FOV (field of view) for object detection. To detect various moving objects such as vehicles and pedestrians, the ego-motion of host vehicle is firstly estimated by A robust NGPP (near ground point projection)...
This paper presents a FPGA-based auto focusing system for object ranging. It overcomes the disadvantage of manual focusing wise in traditional method of objects ranging. In our system, the distance of objects can be measured automatically by the auto focusing algorithm. We have experimentally demonstrated the effectiveness of this method. The best performance of our system is about 3% relative errors...
A real-time monocular vision based rear vehicle and motorcycle detection and tracking approach is presented for lane change assistant (LCA). To achieve robustness and accuracy this work detects and tracks multiple vehicles and motorcycles on road by combining multiple cues. To achieve real-time multi-resolution technology is used to reduce computing complexity, and all algorithms have been implemented...
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