Publication

The SaPPART COST Action: main outcomes and deliverables

Pierre-Yves Gilliéron
2017
Talks

Abstract

The deployment of autonomous vehicles is becoming a reality on the European road network and will significantly affect the future liability of different actors in the road and transport sectors. Liability is strongly linked with the trust that you can have in a system, like a vehicle with advanced driver assistance or automatic driving capabilities. In these applications the vehicle positioning is one of the most critical components because most of the decisions are based on the location of the vehicle itself and of other vehicles and objects in its vicinity. -- This presentation is part of the final event of the European COST Action ”Satellite Positioning Performance Assessment for Road Transport” (SaPPART). At this occasion, the main outcomes of the Action will be presented within the context of very demanding applications, like autonomous driving.

Official source

https://infoscience.epfl.ch/entities/publication/74e0c62c-feb8-40f2-a6d9-568f158a6b78

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Pierre-Yves Gilliéron
2017
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/74e0c62c-feb8-40f2-a6d9-568f158a6b78

About this result

Related concepts (28)

Advanced driver-assistance system

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.

Self-driving car

A self-driving car, also known as an autonomous car, driverless car, or robotic car (robo-car), is a car that is capable of traveling without human input. Self-driving cars use sensors to perceive their surroundings, such as optical and thermographic cameras, radar, lidar, ultrasound/sonar, GPS, odometry and inertial measurement units. Control systems interpret sensory information to create a three-dimensional model of the vehicle's surroundings.

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.

Related publications (1)

The SaPPART COST Action: main outcomes and deliverables

Chat with Graph Search

Dynamical Efficiency in congested road networks