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Detection of traffic lights is a basic technology for autonomous vehicle and driver assistant system. This paper presents a framework of detection, tracking, classification and online mapping using the images captured by a camera mounted on the vehicle and the position and attitude information from GPS/INS. The sequential results of detection, which is treated as observations with uncertainty, are...
We proposed a recognition algorithm based on feature extraction and Bag-of-words with language model. Object recognition in 3D rang data of big scene has become an increasingly popular research topic in intelligent vehicle area. Firstly we introduce a fast ground filtering and clustering method and a convenient method to generation training samples. Then we proposed a feature extraction method based...
The influence of gravity disturbance vector can't be neglected in high-precision long-time inertial navigation system (INS). In this paper, proceeding from INS arrange equations, we establish an error model of INS with gravity disturbance vector, and discuss on the basis of a case study of single channel how gravity disturbance vector influences INS in three varying situations. The simulation result...
We proposed an unsupervised algorithm to extract profile features and detect moving object under dynamic background in 3D range Data. Moving object detection under dynamic background has become an increasingly popular research topic in mobile robotics. For the characteristics of dynamic background scene, we proposed an online unsupervised moving object detection algorithm, based on Gaussian Mixture...
In this paper, a kind of integrated perception system for mobile robot is presented, which consists of 3D Lidar, 2D camera and their spatial registration. Based on the system and support vector machine (SVM), a self-supervised learning scheme between 3D point cloud data and 2D image data has been established, which can identify the traversable lane in driving environments through data association...
This paper classified drivers' driving behaviors into rotation of steering wheel, the stampede of clutch, brake and throttle, the shift of gear and some other primary driving behaviors. Concerning about the needs of practical application and considering the requirements of convenience, real time and accuracy fully, we researched how to measure these primary driving behaviors on the simulated driving...
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