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TRIMIS

Sensing of Car Environment at Low Speed Driving

Project

CARSENSE - Sensing of Car Environment at Low Speed Driving


Funding origin:
European
European Union
STRIA Roadmaps:
Connected and automated transport (CAT)
Connected and automated transport
Transport mode:
Road
Road
Transport sectors:
Passenger transport
Passenger transport
Duration:
Start date: 01/01/2000,
End date: 01/10/2002

Status: Finished
Funding details:

Overview

Background & policy context:

Based on the research activities of the last years within DRIVE II, PROMETHEUS and the EU 4th Framework Programme, the concept of Adaptive Cruise Control (ACC) is in the development process as a first Advanced Driver Assistance System and has been introduced to the market in this year (1999). All surveys and experimental assessments have proven that users have shown a high interest and product acceptance for such kind of systems. It is clear, that this is only the beginning of developments towards more advanced functions. Future Advanced Driver Assistance Systems (ADAS) may help the driver in more and more complex driving tasks. They can partly take over the control driving a car in traffic situations in which the driver hands over the control of the car to the Driver Assistance System

Objectives:

According to the experience from other projects partly sponsored also by the European Commission (such as UDC, AC-ASSIST, .) the programme shall focus on the following aspects:

  • Definition of a characteristic sample of applications for low speed driving
  • Definition of an open and flexible hardware & software architecture
  • Improvement of sensors for the use according to the defined specifications
  • Interface harmonisation and data bus definition for transfer of sensor data
  • Fusion of sensor data
  • Visualisation of results
  • Assessment
  • Dissemination

Methodology:

CARSENSE developed a sensing system and an appropriate flexible architecture for driver assistance systems, with the aim being to advance the development of ADAS for complex traffic and driving situations, initially at low speeds. The ADASE project identified that driver assistance at low speed is the next most feasible function after the introduction of ACC. Based on these agreed scenarios, it was chosen to cover a large spectrum of low speed real-life situations, data from various sensors will be acquired simultaneously and recorded along with additional driving sequence description scripts. The scripts provided the partners with the means for calibrating their sensors and for testing their algorithms. LCPC (LIVIC department) used its own test tracks to achieve this task.

At the end of the project, a second set of tests permited a study of the performance of each newly designed sensor. This also helped to assess the benefits of sensor fusion and allow an evaluation of the detection performa.

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