Along with the electrification and connectivity of vehicles, the automation of the driving task represents one of the main trends in the automotive industry. With the increasing capabilities of Advanced Driver Assistance Systems (ADAS) and …

With the advent of the concept of IOT for smart cities and autonomous vehicles, Intelligent Transport system has sprouted as a new research area. The major thrust areas are security, surveillance and coordination in transport infrastructure and …

This book provides a comprehensive reference for both academia and industry on the fundamentals, technology details, and applications of Advanced Driver-Assistance Systems (ADAS) and autonomous driving, an emerging and rapidly growing area. The …

Advanced driver assistance system (ADAS) is the term used to refer to those systems which help the driver either by taking over a task the driver would otherwise have to carry out manually, or by fulfilling a function which is beyond the …

ADAS is a vision and sensor-based system that aids the driver in understanding the immediate surroundings and navigate around it in a semi-autonomous manner constantly, using different computer vision methods like object detection, depth …

Recent advanced driver assistance systems’ (ADASs) control cars to avoid accidents, but few of them consider driver’s comfort. To realize comfortable driving, an ADAS must sense the driver’s emotions, especially when they are negative. Since …

Failure analysis (FA) could provide timely feedback to process optimization and solution paths for system failures; thus, it is critical for the development of advanced driver assistance systems (ADAS). In this chapter, failure analysis flows …

Cameras have become one of the most important sensors in advanced driver-assistance systems (ADAS) and autonomous driving (AD) vehicles. There are different ways to categorize cameras in ADAS/AD vehicles based on the camera’s placement …

Safety assessment of Highly Automated Vehicles, including Advanced Driver Assistance Systems and Advanced Driving Functions, is of paramount importance for the acceptance and diffusion of these technologies. On-road testing alone is no option due …

This paper deals with the movement, localization and navigation possibilities of Autonomous Robotic Platform (ARP). Such a platform is used for ADAS (Advanced Driver Assistance Systems) testing in automotive. At the beginning, the paper discusses …

Advanced Driver Assistance Systems (ADAS) are designed with the main purpose of increasing the safety and comfort of vehicle occupants. Most of current computer vision-based ADAS perform detection and tracking tasks quite successfully under …

The efficient development and evaluation of complex cooperative systems in the automotive sector requires new methods. IPG Automotive and Continental describe a vehicle-in-the-loop approach in which simulation data for the development and testing …

When driving at night, predictive control of the headlights is a way to let the driver benefit from the capabilities of the driver assistance sensor system. Ford is therefore further developing dynamic bending lights with predictive response to …

Modern driver assistance systems are taking over more and more of the driver’s tasks. The development is moving from highly automated to autonomous driving. One major goal is to minimize the risk of accidents. This means that vehicle manufacturers …

For optimal end customer acceptance, assistance systems should react differently to driving maneuvers in markets such as Asia, Europe or America. AVL has conceived an approach with objective target criteria to reduce additional costs in …

Advanced driver-assistance systems (ADAS)Driver-assistance systems (DAS)advanced DAS support the driver during driving or parking. They are pretended to alert, automate, adapt, and enhance vehicle systems to improve safety, comfort, and driving.