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There are many ideas to enhance the safety riding. Advanced Driver Assistance System (ADAS) is a system to help the driver more safety. ADAS has a purpose to assist and direct the driver in order to improve traffic safety. Traffic sign recognition is one important part of ADAS. Traffic sign is a warning sign which placed at the side or above the road to provide detail road information to the driver...
This paper presents a visual attention based convolutional neural network (CNN) to solve the image classification problem in the real complex world scene. The presented method can simulate the process of recognizing objects and find the area of interest which is related with the task. Compared with the CNN method in image classification, the model is proficient in fine-grained classification problem...
This paper presents a fast vehicle recognition and vehicle retrieval system based on “bag of words”. In this system, the input is an image of vehicle and the vehicle will be identified automatically, it can also retrieve images which are similar to the input image. 3742 vehicle images which include 28 types of vehicles are collected as the image database. Features of these images are extracted and...
In this paper, we present a novel framework for representation of images as a combination of multiple mid-level feature descriptor representation based group of visual words. The mid-level feature representation is computed on discriminative patches of the image to build a lexicon, the visual words of which are used to represent the shape within that image. The proposed image representation method...
The recognition of vehicle manufacturer logo is a crucial and very challenging problem, which is still an area with few published effective methods. This paper proposes a new fast and reliable system for Vehicle Logo Recognition (VLR) based on Bag-of-Words (BoW). In our system, vehicle logo images are represented as histograms of visual words and classified by SVM in three steps: firstly, extract...
In this paper, the license plate recognition, in the case of the character's local information missing and the license plate partially obstructed, is taken as the research objective. According to the visual identification features that the overall message can be inferred from local information, the characters whose local information missing in the license plate can be deduced from the local evidence...
This paper presents a novel indoor navigation and ranging strategy by using a monocular camera. The proposed algorithms are integrated with simultaneous localization and mapping (SLAM) with a focus on indoor aerial vehicle applications. We experimentally validate the proposed algorithms by using a fully self-contained micro aerial vehicle (MAV) with on-board image processing and SLAM capabilities...
Vision difference or inattention to the traffic condition often causes the unnecessary traffic accidents while driving. Therefore, this study is to fast detect both the preceding vehicle and lane marking at the least response time 0.5972 seconds. After coordinate transformation converts image plane coordinates of the preceding vehicle to GPS coordinates, the headway between cars is obtained to assist...
We have developed a browsing tool for visualizing information about geographic surfaces using map-based augmented reality (AR). Map-based AR technology enables virtual objects to be overlaid on an actual map, creating a tangible user interface. In map-based AR applications, a virtual lens pointer is often used for object selection. However, this type of interaction is difficult when there are many...
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