Cognitive Computing for Smart Automotive Transportation
Technology and Applications
Series: Chapman & Hall/CRC Internet of Things;
- Publisher's listprice GBP 120.00
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60 732 Ft (57 840 Ft + 5% VAT)
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- Discount 20% (cc. 12 146 Ft off)
- Discounted price 48 586 Ft (46 272 Ft + 5% VAT)
60 732 Ft
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 25 June 2025
- ISBN 9781032487403
- Binding Hardback
- No. of pages192 pages
- Size 234x156 mm
- Language English
- Illustrations 77 Illustrations, black & white; 8 Halftones, black & white; 69 Line drawings, black & white; 7 Tables, black & white 700
Categories
Short description:
The reference book explores the integration of cognitive computing technologies in the automotive industry to enhance smart transportation systems. It focuses on how AI, machine learning, and data analytics can improve vehicle automation, safety, and efficiency.
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Long description:
The reference book explores the integration of cognitive computing technologies in the automotive industry to enhance smart transportation systems. It focuses on how AI, machine learning, and data analytics can improve vehicle automation, safety, and efficiency. Automation can support driverless vehicle transportation and bridge the gap between manual control and fully automated navigation systems. The text introduces a discussion on numerous applications of cognitive computing in smart transportation, motion planning, situation awareness, dynamic driving, adaptive behavior, human intent measurement, and predictive analysis.
? Discusses basic concepts and architecture of cognitive computing for vehicular systems.
? Presents technologies to measure human intent for vehicle safety, including emergency management systems (EMS).
? Covers the perception and localization processes in autonomous driving through lidar, GPS, and Stereo vision data with critical decision-making and simulation results.
? Elucidates the application of motion planning for smart transportation.
? Covers visual perception technologies for advanced driver assistance systems (ADAS) through deep learning.
The text is primarily written for graduate students, academic researchers, and professionals in the fields of computer science, electrical engineering, automotive engineering, and civil engineering.
MoreTable of Contents:
1. A Research on Security and Privacy Issues in IoV enabled Smart Transportation Systems 2. Smart Mobility: Cognitive Computing in Modern Transportation Systems 3. Internal Combustion Engine Simulations in the Era of High-Performance Computing 4. Fault Detection & Tolerance In Dynamic Control 5. Connected Cars, Connected Cities: The Rise of Smart Mobility 6. Analysis of Cognitive Internet of vehicles and its challenges
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