The aim of this project is to research technologies for bringing ADAS to urban oriented electric vehicles. Two are the major distinctive features of our proposal are: (1) the use of vision as “eco”-sensor; and (2) to follow a driver-centric approach, i.e., rather than thinking in road and driver monitoring as working-alone ADAS, we will make them to cooperate in order to assist the driver only when he/she really need it, or in other words, working as actual co-drivers. Both things together build our concept of eco-driver.
We organize the overall coordinated project “eCo-DRIVERS: Ecologic Cooperative Driver and Road Intelligent Visual Exploration for Route Safety” as three complementary and collaborative subprojects: (1) “Vision-based Driver Assistance Systems for Urban Environments (ViDAS-UrbE)”; (2) “Driver Distraction Detection System (D3System)”; and (3) “Intelligent Agent-based Driver Decision Support (i-Support)”. The core research of subprojects (1) and (2) will focus on computer vision while (3) will address research on machine learning and reasoning under uncertain and incomplete data. Based on this research the project aims to develop two urban-oriented and vision-based co-drivers for (a) driver-centric obstacle detection; and (b) driver-centric pedestrian detection.
Title: eCo-Drivers: Ecologic Cooperative Driver and Road Intelligent Visual Exploration for Route Safety
Principal Investigator: Antonio M. López
Participants: 33 researchers from the Computer Vision Center and Universidad Carlos III de Madrid.