Cognitive Computing For Smart Automotive Transportation


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Cognitive Computing for Smart Automotive Transportation


Cognitive Computing for Smart Automotive Transportation

Author: G. R. Kanagachidambaresan

language: en

Publisher: CRC Press

Release Date: 2025-06-19


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This 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. Key Features: • 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.

Cognitive Computing for Human-Robot Interaction


Cognitive Computing for Human-Robot Interaction

Author: Mamta Mittal

language: en

Publisher: Academic Press

Release Date: 2021-08-13


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Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Library of Congress Subject Headings


Library of Congress Subject Headings

Author: Library of Congress

language: en

Publisher:

Release Date: 2013


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