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Image processing --- Signal processing --- Data compression (Telecommunication)
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DSP for In-Vehicle and Mobile Systems is focused on digital signal processing strategies for improving information access, command and control, and communications for in-vehicle environments. It is expected that the next generation of human-to-vehicle interfaces will incorporate speech, video/image, and wireless communication modalities to provide more comfortable and safer driving ambiance. It is also expected that vehicles will become "smarter" and provide a level of wireless information sharing of resources regarding road, weather, traffic, and other information that drivers may need immediately or request at a later time while driving on the road. The format of this work centers on three themes: in-vehicle corpora, speech recognition/dialog systems with emphasis on car environments, and digital signal processing for mobile platforms involving noise suppression, image/video processing, and alternative communication scenarios that can be employed for in-vehicle applications. DSP for In-Vehicle and Mobile Systems is appropriate for researchers and professionals working in signal processing technologies, next generation vehicle design and networked-communications.
Automotive telematics. --- Signal processing --- Digital techniques. --- Digital signal processing --- Digital communications --- Digital electronics --- Automobiles --- Telematics, Automotive --- Mobile communication systems --- Telematics --- Electronic equipment --- Computer science. --- Telecommunication. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Communications Engineering, Networks. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Informatics --- Science --- Signal processing. --- Image processing. --- Speech processing systems. --- User interfaces (Computer systems). --- Electrical engineering. --- Electric engineering --- Engineering --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)
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Advances for In-Vehicle and Mobile Systems: Challenges for International Standards is organized to bring together the most active scholars working on the latest techniques, standards, and emerging deployment on "living in the age of wireless communications and smart vehicular systems." The objective is to incorporate speech, dialog, video, image, vehicular sensory data, and wireless communication modalities to model the total behavior of the driver and use that model towards personalization of the vehicle to provide a more comfortable and safer driving experience. The format of this work centers on four themes: driver and driving environment recognition, telecommunication applications, noise reduction, and dialog in vehicles. Advances for In-Vehicle and Mobile Systems: Challenges for International Standards is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms.
Engineering. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Communications Engineering, Networks. --- Computer science. --- Telecommunication. --- Ingénierie --- Informatique --- Télécommunications --- Automobiles -- Electronic equipment -- Congresses. --- Automotive telematics -- Congresses. --- Electronic books. -- local. --- Mobile communication systems -- Congresses. --- Motor vehicles -- Electronic equipment -- Congresses. --- Signal processing -- Digital techniques -- Congresses. --- Automobiles --- Motor vehicles --- Automotive telematics --- Mobile communication systems --- Signal processing --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Mechanical Engineering --- Telecommunications --- Applied Physics --- Electrical Engineering --- Automotive Engineering --- Electronic equipment --- Digital techniques --- Telematics, Automotive --- Telematics --- User interfaces (Computer systems). --- Automotive engineering. --- Electrical engineering. --- Automotive Engineering. --- Electrical Engineering. --- Computer engineering. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Informatics --- Science --- Computers --- Construction --- Industrial arts --- Technology --- Design and construction --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Electric engineering --- Engineering
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Mass communications --- Computer. Automation --- beeldverwerking --- signal processing --- informatica --- communicatietechnologie --- signaalverwerking
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Transport engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- signal processing --- controleleer --- motorrijtuigen --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- signaalverwerking --- AI (artificiële intelligentie)
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This is an edited collection by world-class experts, from diverse fields, focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. The book presents developments on road safety, in-vehicle technologies and state-of-the art systems. Includes coverage of DSP technologies in adaptive automobiles, algorithms and evaluation of in-car communication systems, driver-status monitoring and stress detection, in-vehicle dialogue systems and human-machine interfaces, challenges in video and audio processing for in-vehicle products, multi-sensor fusion for driver identification and vehicle to infrastructure wireless technologies.
Telecommunication technology --- Applied physical engineering --- Transport engineering --- Engineering sciences. Technology --- Mass communications --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- computers --- informatica --- tekstverwerking --- controleleer --- motorrijtuigen --- ingenieurswetenschappen --- computerkunde --- communicatietechnologie --- signaalverwerking
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DSP for In-Vehicle and Mobile Systems is focused on digital signal processing strategies for improving information access, command and control, and communications for in-vehicle environments. It is expected that the next generation of human-to-vehicle interfaces will incorporate speech, video/image, and wireless communication modalities to provide more comfortable and safer driving ambiance. It is also expected that vehicles will become "smarter" and provide a level of wireless information sharing of resources regarding road, weather, traffic, and other information that drivers may need immediately or request at a later time while driving on the road. The format of this work centers on three themes: in-vehicle corpora, speech recognition/dialog systems with emphasis on car environments, and digital signal processing for mobile platforms involving noise suppression, image/video processing, and alternative communication scenarios that can be employed for in-vehicle applications. DSP for In-Vehicle and Mobile Systems is appropriate for researchers and professionals working in signal processing technologies, next generation vehicle design and networked-communications.
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Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features: Recent advances in Smart-Car technology - vehicles that take into account and conform to the driver Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver Best practices for In-Vehicle Corpus Development and distribution Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, man-machine interfaces, human factors and transportation engineering.
Transport engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- signal processing --- controleleer --- motorrijtuigen --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- signaalverwerking
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