Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence.
Subsea Robotics addresses the complex challenges in underwater oceanographic data collection, submerged infrastructure inspection, and subsea defense missions.
Subsea Robotics addresses the complex challenges in underwater oceanographic data collection, submerged infrastructure inspection, and subsea defense missions.
Studienarbeit aus dem Jahr 2020 im Fachbereich Ingenieurwissenschaften - Fahrzeugtechnik, Ostbayerische Technische Hochschule Regensburg, Sprache: Deutsch, Abstract: Laut WHO gibt es jährlich 1,35 Millionen Verkehrstote weltweit.
"e;A runaway trolley is speeding down a track"e; So begins what is perhaps the most fecund thought experiment of the past several decades since its invention by Philippa Foot.
"e;A runaway trolley is speeding down a track"e; So begins what is perhaps the most fecund thought experiment of the past several decades since its invention by Philippa Foot.
Artificial Intelligence (A) is transforming transportation by enabling intelligent, adaptive, and data-driven mobility systems capable of addressing growing urbanization and sustainability challenges.
Artificial Intelligence (A) is transforming transportation by enabling intelligent, adaptive, and data-driven mobility systems capable of addressing growing urbanization and sustainability challenges.
This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS).
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain.
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain.
This book explores and highlights the latest techniques and applications of artificial intelligence (AI) and fuzzy logic in the development of intelligent transportation systems (ITS).
This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives.
This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives.
Smart Freight Logistics explains how digital and data-driven tools are reshaping freight logistics from urban deliveries to regional and national supply chains.
Smart Freight Logistics explains how digital and data-driven tools are reshaping freight logistics from urban deliveries to regional and national supply chains.
Railway Safety Management: Systems, Practices, and Emerging Trends offers a comprehensive and practical guide to managing safety in the rail transport sector.
Railway Safety Management: Systems, Practices, and Emerging Trends offers a comprehensive and practical guide to managing safety in the rail transport sector.
Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management.
Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management.
Driving Intelligence takes a critical and captivating tour of autonomous driving, a phenomenon at the intersection of data-driven platforms, artificial (general) intelligence and the mind.
Driving Intelligence takes a critical and captivating tour of autonomous driving, a phenomenon at the intersection of data-driven platforms, artificial (general) intelligence and the mind.
This book aims to provide a comprehensive exploration of the integration of machine learning and deep learning algorithms into the field of autonomous vehicles and advanced driver assistance systems.
This book aims to provide a comprehensive exploration of the integration of machine learning and deep learning algorithms into the field of autonomous vehicles and advanced driver assistance systems.
Automated vehicles are poised to revolutionise transportation, yet AdvancedDriver Assistance Systems (ADAS) represent the cutting-edge technologyof today.
Over seven detail-rich chapters, this book comprehensively describes autonomous vehicle chassis modeling and control, chassis domain dynamic control, the estimation of essential dynamic states, research on motion planning, the development of chassis coordinated control, and related topics.