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While current implementations of LIDAR-based autonomous driving systems are capable of road following and obstacle avoidance, they are still unable to detect road lane markings, which is required for lane keeping during autonomous driving sequences. In this paper, we present an implementation of semantic image segmentation to enhance a LIDAR-based autonomous ground vehicle for road and lane marking...
Superpixels are an oversegmentation of an image and popularly used as a preprocessing in many computer vision applications. Many state-of-the-art superpixel segmentation algorithms rely either on minimizing special energy functions or on clustering pixels in the effective distance space. While in this paper, we introduce a novel algorithm to produce superpixels based on the edge map by utilizing a...
In this paper, we propose a novel line segment detector, named as NETLines, which can produce a set of accurate line segments and a set of node-connected line-networks formed by connection of the line segments and the image boundary. Based on the line segments generated by other line segment detectors (e.g., EDLines [1]) on an edge map, the proposed algorithm efficiently makes use of the gradient...
Non-blind image deblurring algorithms based on the regularization can cause ringing artifacts. Using hyper-Laplacian priors, Krishnan D has proposed a non-blind deblurring model which can reduce ringing artifacts well, but it damages the image edge details. To solve this problem, a parameter adaptive non-blind deblurring model based on regional division is proposed in this paper. It can effectively...
In this paper, we present a saliency-aware image completion method which takes full advantage of a saliency detection result. On one hand, the saliency map is incorporated into the completion order computation procedure to take human visual attention into account. On the other hand, the saliency map used in patch matching makes the searched result more accurate and smooth. Furthermore, we employ an...
A novel traffic indication symbol detection and recognition method is introduced in this paper. We firstly apply color detection and shape detection on the real-time image to locate and extract the symbol region. Then the traffic indication sign is matched and recognized by using shape context. Experimental result demonstrates the proposed algorithm has good performance on recognition and more robustness...
The attack graph, a typical model-based method, is widely used in the field of network security evaluation. The biggest disadvantage of attack graph method is its exponential growth of the state space. This paper presents an efficient algorithm based on the malefactorpsilas access level vector in every host of the network to generate a reduced attack graph in polynomial compute complexity. In this...
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