Road Vehicles Surroundings Supervision: On-Board Sensors and Communications

doi:10.3390/books978-3-03897-569-4

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Road Vehicles Surroundings Supervision: On-Board Sensors and Communications

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January 2019

218 pages

ISBN978-3-03897-568-7 (Paperback)
ISBN978-3-03897-569-4 (PDF)

https://doi.org/10.3390/books978-3-03897-569-4

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This book is a reprint of the Special Issue Road Vehicles Surroundings Supervision: On-Board Sensors and Communications that was published in

Biology & Life Sciences

Chemistry & Materials Science

Computer Science & Mathematics

Engineering

Environmental & Earth Sciences

Physical Sciences

Summary

This Special Issue presents a selection of current solutions for vehicle surroundings perception systems. This perception is essential for many advanced driver application systems and autonomous driving, and there are currently several challenges that need addressing. Perception can be obtained using on-board sensors, but, due to their limitations, the development of sensor fusion techniques or specific algorithms is needed. Vehicle positioning is also important, but further refined accuracy and specific requirements arise with each new application. Apart from on-board sensors, wireless communication can provide information from a larger electronic horizon that can be used for better decision making. Finally, all this information can be used to enhance development of autonomous driving

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Keywords

adaptive global fast sliding mode (AGFSM); adaptive sliding mode observer (ASMO); Kalman filter (KF); Steer-by-Wire (SbW); cellular automaton (CA); model of CA; computer simulation; roundabout traffic simulation; roundabout traffic rules; α-β-η-θ filter; tracking filter design; velocity measurements; Kalman filter; α-β filter; UWB Doppler radar; n/a; Intelligent Transportation Systems (ITS); Bus Rapid Transit (BRT); autonomous driving; autonomous bus; automatic vehicle control; lateral control; longitudinal control; obstacle detection; human machine interface; autonomous vehicle; driving decision-making mechanism; road conditions; support vector machine regression; PSO algorithm; LSTAR; STARIMA; parameters estimation; traffic flow prediction; urban road network; autonomous vehicles; intelligent vehicles; control architecture; decision-making system; global and local path planning; Bezier curves; positioning; navigation; data fusion; odometry; particle filter; multiple-model filter; intelligent transportation; multiple junctions; position based routing; optimal route; positioning; road boundary; curb; lane line; laser scanner; algorithm; accuracy; vehicle surroundings supervision; vehicle surroundings reconstruction vehicle positioning; autonomous driving; connected vehicles; sensors; communications