About the book
The using of the main features extracted from big data through cognitive technology, Internet of Things, and intelligent systems is part of the on-going Cognitive Era. The fast acceleration of technology development pushes the industry beyond its limits: the new industrial revolution takes place. The worldwide greenhouse gas emissions are provided mainly from cars, planes, trucks, heavy industries transport, ships, and trains.
The majority (more than 90%) of accidents in transport area are caused by drivers or by pedestrians. In order to increase safety on the road and to decrease environment pollution, Electrical Autonomous Driving (EAD) becomes a real solution. The level of autonomy increased gradually from 0 to 5; in other words from no autonomy to fully automated. The traffic congestion solved by optimizing the Autonomous Driving (AD) route and communication between AD can be one way to diminish the driving accidents. By introducing AD as sharing mobility will eliminate car insurance, technical inspections and maintenance expenses for the individuals. Therefore, the road assurance, parking space will increase; the care costs and pollution will decrease.
The book intends to create a bridge between the companies in the AD field and people by eliminating the possible risks through technological development. The people fear about autonomous driving. This makes social acceptance to be hampered. The recent integration by Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology and Toyota Research Institute (TRI) of the MapLite system into the AD navigation make possible the integration of the AD on the rural roads. The use of the intelligent control, the sensor fusion algorithms into driverless control makes possible the AD safety under cloudly, fog, snowy, rain or sleet conditions or the imminent appearance of the birds (seagulls) in front of AD. In Boston, WaveSense makes radar for AD to see below the ground. Therefore, an innovative road infrastructure can be used to avoid inappropriate surface conditions.
The challenge of this book is to find the viable solutions to all mentioned barriers to all levels of autonomy, to support the AD development, and to spread the control algorithms in a unitary way (taking into account that AD could be Autonomous Cars, Flying Cars, Unmanned Aerial Systems, Autonomous Underwater Vehicle, and Unmanned Surface Vehicle). The network communication of the AD can be altered by cyber-attacks. The sophisticated security architectures development pushes forward the current barriers, increasing the trust and changing the ways of think, gaining the trust of the people day by day. The robust management of a lot of sensors in a safe way makes the driverless technology to spread faster. Academic or industrial research is the major vector for AD development. On the other hand, the new face of the city (smart city) facilitates the inclusion of the AD. Another key-enabled development issue is the adoptions of the new standards, making the companies go further to mass-production of the driverless vehicle.
The readers of the book will find the challenges of developing AD, and the possible answers to both confident and pessimistic people. The applications of the autonomous driving can be found in transportation, logistics, space, agriculture, industrial automation or home automation.