Smart Mobile In-Vehicle Systems Next Generation Advancements /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Schmidt, Gerhard (Επιμελητής έκδοσης), Abut, Huseyin (Επιμελητής έκδοσης), Takeda, Kazuya (Επιμελητής έκδοσης), Hansen, John H.L (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
• Θέματα: Engineering.; User interfaces (Computer systems).; Automotive engineering.; Control engineering.; Electrical engineering.; Signal, Image and Speech Processing.; Control.; Automotive Engineering.; User Interfaces and Human Computer Interaction.; Communications Engineering, Networks.

 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. 

 Part I: Sensor and Data Fusion.- Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar -- Dense 3D Motion Field Estimation from a Moving Observer in Real-Time -- Intelligence in the Automobile of the Future -- Unmanned Ground Vehicle Otonobil: Design, Perception, and Decision Algorithms -- Part II: Speech and Audio Processing -- Car Hands-Free Testing and Optimization - An Overview -- A Wideband Automotive Hands-free System for Mobile HD Voice Services -- In-Car Communication -- Room in a Room: A Neglected Concept for Auralization -- Refinement and Temporal Interpolation of Short-Term Spectra – Theory and Applications -- Part III: Driver Distraction.- Effects of Multi-Tasking on Drivability through CAN-Bus Analysis -- Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions.- Part IV: Driving Behavior and User Profiling.- Evaluation Method for Safe Driving Skill Based on Driving Behavior Analysis and Situational Information at Intersections -- Pre- and Post-Accident Emotion Analysis on Driving Behaviour -- Part V: Driving Scene Analysis -- Content-Based Driving Scene Retrieval Using Driving Behavior and Environmental Driving Signals -- Driving Event Detection by Low-Complexity Analysis of Video Encoding Features -- Target Shape Estimation Using an Automotive Radar.