Vehicular automation

Vehicular automation involves the use of mechatronics, artificial intelligence, and multi-agent systems to assist the operator of a vehicle (car, aircraft, watercraft, or otherwise). These features and the vehicles employing them may be labeled as intelligent or smart. A vehicle using automation for difficult tasks, especially navigation, to ease but not entirely replace human input, may be referred to as semi-autonomous, whereas a vehicle relying solely on automation is called robotic or autonomous. Both of these types are instantiated in today's various self-driving cars, unmanned surface vehicles, autonomous trains, advanced airliner autopilots, drone aircraft, and planetary rovers, as well as guided rockets and missiles. After the invention of the integrated circuit, the sophistication of automation technology increased. Manufacturers and researchers subsequently added a variety of automated functions to automobiles and other vehicles. The technology involved in implementing autonomous vehicles is very expansive, ranging from technological improvements in the vehicle itself to the environment and objects around the vehicle. As the use of automated vehicles increases, they are becoming more influential in human lives. Although automated vehicles bring various benefits, they also come with various concerns. Also, there are still technological challenges that need to be overcome in order to make vehicular automation robust and scalable. An automated driving system is generally an integrated package of individual automated systems operating in concert. Automated driving implies that the driver has delegated the ability to drive (i.e., all appropriate monitoring, agency, and action functions) to the vehicle automation system. Even though the driver may be alert and ready to take action at any moment, the automation system controls all functions. Automated driving systems are often conditional, meaning that the automation system is capable of automated driving, but not for all conditions encountered in the course of normal operation.

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Simulation of Cooperative Automated Driving by Bidirectional Coupling of Vehicle and Network Simulators

Alcherio Martinoli, Inaki Navarro Oiza, David Mansolino, Guillaume Stefan Jornod

The convergence of sensor-based vehicle automation and Inter-Vehicle Communication (IVC) will be a key to achieve the full automation of vehicles. In this paper we present a new method for the design and performance evaluation of Cooperative Automated Driving (CAD) systems, based on a bidirectional coupling of vehicle and network simulators (Webots and ns-3). The coupling exploits the comprehensive capabilities of the simulators at a reasonable computational complexity and allows simulating CAD systems with high accuracy. We demonstrate the capabilities of the simulation tool by a case study of convoy driving with automated vehicles using a fully distributed control algorithm and IVC. The study compares CAD-specific metrics (safety distance, headway, speed) for an ideal and a realistic communication channel. The simulation results underline the need of accurate modeling and give valuable insights for the design of CAD systems.

2017

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Robotics is an interdisciplinary branch of electronics and communication, computer science and engineering. Robotics involves the design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans. Robotics integrates fields of mechanical engineering, electrical engineering, information engineering, mechatronics engineering, electronics, biomedical engineering, computer engineering, control systems engineering, software engineering, mathematics, etc.

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An advanced driver-assistance system (ADAS) includes technologies that assist drivers with the safe operation of a vehicle. Through a human-machine interface, ADAS increases car and road safety. ADAS uses automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly. ADAS can enable various levels of autonomous driving. As most road crashes occur due to human error, ADAS are developed to automate, adapt, and enhance vehicle technology for safety and better driving.

Vehicular automation

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