Autonomous Intelligent Vehicles
Theory, Algorithms, and Implementation
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52 Result(s)
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Hong**g Cheng
Pattern Recognition
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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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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
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
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...
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Chapter
Vehicle Detection and Tracking
This chapter proposes a multi-resolution hypothesis–validation structure to detect on-road vehicles in time. We remove the limitation of A. Broggio’s approach and build a simple and efficient hypothesis–valida...
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Chapter
An Integrated DGPS/IMU Positioning Approach
In this chapter, a way of determining vehicles’ global and local positions is proposed, called integrated DGPS/IMU positioning approach. By using this approach, we build our navigation system. In our system, t...
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Chapter
The Lateral Motion Control for Intelligent Vehicles
In this chapter, we introduce the lane following system. First, we review the related work about the vehicle lateral motion control. Then, to achieve the smooth steering system, we use different control strate...
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Chapter
The State-of-the-Art in the USA
This chapter presents an overview of the most advanced intelligent vehicle projects which once attended either the Grand Challenge or the Urban Challenge supported by the DARPA in the USA. Sections 2.2 to 2.8 int...
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Chapter
Multiple-Sensor Based Multiple-Object Tracking
Radar/Lidar and vision sensors have complementary properties. In this chapter, we consider multi-sensor multi-object detection and tracking systems to improve overall system performance. We formulate the proba...
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Chapter
Vehicle Navigation Using Global Views
This chapter describes the technologies to provide a driver with the information of dynamic surroundings around the vehicle that he/she is driving to enhance his/her situation awareness. We propose capturing s...
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Chapter
Longitudinal Motion Control for Intelligent Vehicles
The longitudinal motion control is to control a vehicle according to its relative position with respect to either the lead vehicle or obstacles. There are four dynamical models of the vehicle longitudinal moti...
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Chapter
Road Detection and Tracking
In this chapter, we introduce the state-of-the-art of road detection and tracking which are important tasks in intelligent transportation systems and intelligent vehicle applications. We review the related wor...
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Chapter and Conference Paper
Robust Sparse PCA via Weighted Elastic Net
In principal component analysis (PCA), ℓ2 /ℓ1-norm is widely used to measure coding residual. In this case, it assume that the residual follows Gaussian/Laplacian distribution. However, it may fail to describe th...
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Article
Multi-support-region image descriptors and its application to street landmark localization
This paper presents a novel local image descriptor that is robust to general image deformations, and its application to street landmark localization. A limitation with traditional image descriptors is that the...
