Autonomous Intelligent Vehicles
Theory, Algorithms, and Implementation
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101 Result(s)
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Chapter and Conference Paper
Case Mining from Large Databases
This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based reasoning. Case mining constructs a case...
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Chapter and Conference Paper
Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road
Based on principal component analysis neural network, within a probabilistic framework, we introduce a new Monte Carlo tracking technique for autonomous navigation of land vehicle on unpaved road. The use of s...
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Article
Restudies on Body Surface of Dung Beetle and Application of Its Bionics Flexible Technique
A scanning electron microscope was used to observe the structures of the setae on the surface of a dung beetle Copris ochus, Motschulsky. There are lots of setae on the body surface, especially on the ventral ...
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Chapter and Conference Paper
Neural Network Based Online Feature Selection for Vehicle Tracking
Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process framework. Detected vehicle can provide m...
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Chapter and Conference Paper
TextCC: New Feed Forward Neural Network for Classifying Documents Instantly
Corner classification (CC) network is a kind of feed forward neural network for instantly document classification. To classify text object instantly, new training algorithm, named as TextCC, for feed forward n...
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Chapter and Conference Paper
Principle for Outputs of Hidden Neurons in CC4 Network
Corner classification (CC) is a kind of algorithms for instantly classification. The feed forward neural network trained by CC algorithm can be used validly by information retrieval, especially online informat...
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Chapter and Conference Paper
Research on Stereographic Projection and It’s Application on Feed Forward Neural Network
Feed forward neural network for classification instantly requires that the modular length of input vector is 1. On the other hand, Stereographic projection can map a point in n dimensional real space into the ...
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Chapter and Conference Paper
Vanishing Point and Gabor Feature Based Multi-resolution On-Road Vehicle Detection
Robust and reliable vehicle detection is a challenging task under the conditions of variable size and distance, various weather and illumination, cluttered background, the relative motion between the host vehi...
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Article
Frequent pattern mining: current status and future directions
Frequent pattern mining has been a focused theme in data mining research for over a decade. Abundant literature has been dedicated to this research and tremendous progress has been made, ranging from efficient...
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Chapter
Approximate Frequent Itemset Mining In the Presence of Random Noise
Frequent itemset mining has been a focused theme in data mining research and an important first step in the analysis of data arising in a broad range of applications. The traditional exact model for frequent i...
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Chapter and Conference Paper
Forward Semi-supervised Feature Selection
Traditionally, feature selection methods work directly on labeled examples. However, the availability of labeled examples cannot be taken for granted for many real world applications, such as medical diagnosis...
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Chapter and Conference Paper
Mining Closed Episodes from Event Sequences Efficiently
Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the properties of minimal occurr...
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Chapter and Conference Paper
Five-Axis Milling Simulation Based on B-rep Model
Formulating the swept volume by a cutter along its path plays an important role in volumetric simulation of five-axis machining. In some cases, the swept volume may experience self-intersection, which is a cru...
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Book
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Chapter and Conference Paper
Graph-Based Semi-supervised Feature Selection with Application to Automatic Spam Image Identification
In this paper, we propose a new spectral semi-supervised feature selection criterion called s-Laplacian score. It identifies discriminate features by measuring their capability of preserving both local and glo...
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Chapter and Conference Paper
A Study on the Model of Work-Embedded E-learning
Work-embedded e-learning is a new learning model which not only replaces the age-old model of “learn-then-do” but also is the development of e-learning. The paper concluded two modes of work-embedded learning ...
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Chapter and Conference Paper
An Efficient Intrusion Detection Scheme for Wireless Sensor Networks
As a hot issue, wireless sensor network have gained widely attention. WSNs in general and in nature are unattended and physically reachable from the outside world, they could be vulnerable to physical attacks ...
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Chapter and Conference Paper
Querying Shortest Path Distance with Bounded Errors in Large Graphs
Shortest paths and shortest path distances are important primary queries for users to query in a large graph. In this paper, we propose a new approach to answer shortest path and shortest path distance queries...
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Chapter
Introduction
In this chapter, autonomous intelligent vehicles considered as mobile robot platforms are introduced. In general, an intelligent vehicle consists of four fundamental technologies: environment perception and mo...
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Chapter
The Framework of Intelligent Vehicles
This chapter proposes an integrated current and future safety situation analysis framework as general as possible, where we model not only sensing phases, but also control phases. In this framework, a speed es...
