Using the neural networks algorithms to control automatically is one important direction in intelligent vehicle's steering control. This paper presents the installation, mechanical design and processing of intelligent vehicle electronic steering control system. According to the characteristics of intelligent vehicle, the neural networks steering control model is designed, programmed and implemented on computer. Experiments testify the efficiency of the proposed neural networks control algorithms.
This paper describes a multisensor obstacle detection and tracking system for an autonomous vehicle. The key sensors for obstacle detection are a stereo vision sensor and a laser scanner system. Output from the sensors are fed into a sensor fusion unit which then provides information to the controller.
ABSTRACT Computer crime—specifically, software piracy—is growing, and no research in criminology examines whether low self-control can help us understand the behavior. This study examines the link that Gottfredson and Hirschi's (1990) idea of low self-control has with software piracy. Using a nonrandom sample of college students and measures of low self-control, software pirating peers, software pirating attitudes, and moral beliefs toward software piracy, the findings show that low self-control has a link with software piracy. This finding expands the scope of self-control theory and provides an understanding of why the behavior occurs.