Smart Mobile In-Vehicle Systems
Next Generation Advancements
1st Edition
Published on 25. November 2013
XX, 292 pages
978-1-4614-9120-0 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XX, 292 p. 165 illus., 79 illus. in color.
File size
11,49 MB
ISBN-13
978-1-4614-9120-0 (9781461491200)
DOI
10.1007/978-1-4614-9120-0
Schweitzer Classification
Other editions
Additional editions
Gerhard Schmidt | Huseyin Abut | Kazuya Takeda
Smart Mobile In-Vehicle Systems
Next Generation Advancements
Book
11/2013
Springer
€160.49
Shipment within 15-20 days
Content
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.
