interactIVe Summer School report

More than 70 participants arrived on Corfu Island in Greece, from 4 to 6 July 2012, in order to attend the project’s Summer School. During this event project partners, stakeholders from the automotive industry and PhD students had the opportunity to discover the state-of-the-art on Perception Systems, Advanced Driver Assistance Systems (ADAS) and Human Machine Interfaces (HMI) for safer and more efficient driving as well as the interactIVe latest developments and results.

During the six Summer School tutorials speakers from academia and industry, from Europe and abroad gave presentations on a wide range of topics from sensor interfaces and fusion modules, to driver support, emergency intervention, vehicle path control, perception platforms and ADAS applications. After each session the participants had the opportunity to discuss with them the latest developments on the areas of their core research. The themes presented in the Summer School Tutorials are listed below:

Day 1 - Wednesday 4 July 2012

Tutorial 01: Driving Environment Perception and Active Intervention on EU
During the first tutorial the project coordinator, Aria Etemad, as well as the Summer School organiser, Dr Angelos Amditis, welcomed all participants. Following this, an overview of the interactIVe project and its challenges, fusion in past EU projects and inside interactIVe, the continuous support of the driver functionality followed in interactIVe as well as the modelling and simulation of vehicle dynamics for active safety systems were presented.

Tutorial 02: Interaction and Warning Strategies
In the second tutorial the audience had the opportunity to learn about the state-of–the-art in highly automated driving, the different levels of automation, the design challenges for a proper human-machine-interaction system and gain more insight in issues related to the arbitration between driver and automation.

Day 2 - Thursday 5 July 2012

Tutorial 03: Sensor Fusion and Automotive Applications in Practice
In the second day of the Summer School the focus was on sensor data fusion and practical automotive applications. Initially a cooperative ACC system combining sensor and V2V communication data to improve performance, driver acceptance and highway capacity was highlighted followed by a presentation of highly accurate digital maps for vehicle self-localisation using landmarks. In the following a presentation of commercial applications which exploit the benefits of sensor data fusion and a collision avoidance application based on camera and radar fusion were also presented. The tutorial closed with discussion and questions among the speakers and the participants.

Tutorial 04: Active Safety and Collision Mitigation Advanced Applications
In the afternoon of the same day the audience attended another set of interesting presentations. In the first part the focus was on decision making and threat assessment for automotive collision avoidance as well as on the actual evaluation of ADAS in the field using the example of the euroFOT project. The presentation that followed was relevant to environment perception for automated vehicles, the challenges and the future trends in this filed. Finally, the session ended with a statistical approach on how the driver perceives the threat in rear-end collisions which cannot be avoided.

Day 3 - Friday 6 July 2012

Tutorial 05: Sensor Fusion and Multi-target Tracking Theory (I)
During the last day of the Summer School the participants had the opportunity to learn and discuss about the advances in multi-sensor fusion and multi-target tracking theory. Specifically, advanced multi-sensor fusion methods and applications, grid based fusion and multi-sensor calibration, were illustrated.

Tutorial 06: Sensor Fusion and Multi-target Tracking Theory (II)
The same afternoon the presentations focused on sensor fusion and target tracking issues continued. An enhanced situational awareness approach through multi-platform data fusion towards affordable autonomy in urban settings opened the session. Presentations concerning models and filters for camera based multi-target tracking and sigma point estimation techniques and their application in the Kalman filter framework were also discussed.

Finally, poster and demo sessions took place during the Summer School where 16 technical posters and one demonstration were available to the attendees highlighting the latest technological developments in the abovementioned fields.

Documents and Pictures:

Summer School program - please click here.

List of participants - please click here

Pictures of the Summer School - please click here.

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Presentations given during Summer School

T01

interactIVe Challenges; Aria Etemad, Ford Research & Advanced Engineering Europe

Fusion in EU projects and the Perception Approach; Angelos Amditis, ICCS

The Continuous Support Approach in interactIVe; Mauro Da Lio, University of Trento, Italy

Vehicle Dynamics Modeling and Simulation for Active Safety Development in Matlab / Simulink; Mathias Lidberg, Chalmers University, Sweden


T02

Highly Automated Driving; Anna Schieben and Tobias Hesse, Deutsches Zentrum für Luft- und Raumfahrt e.V.

Arbitration between Driver and Automation: why overriding is just the tip of the iceberg; Johann Kelsch, Deutsches Zentrum für Luft- und Raumfahrt e.V.


T03

Cooperative ACC - Combining Sensor and V2V Communication Data to Improve Performance, Driver Acceptance and Highway Capacity; Steven Shladover, University of California, Berkeley

Highly Accurate Digital Maps for Vehicle Self-localisation Using Landmarks; Erich Fuchs, University of Passau, Germany

Commercial Vehicle Sensor Data Fusion Applications; Grant Grubb, Volvo Group Trucks Technology, Advanced Technology & Research

Collision Avoidance based on Camera and Radar Fusion; Jitendra Shah, Ford Research & Advanced Engineering Europe


T04

ADAS evaluation in the field – Using the example of euroFOT;
Felix Fahrenkrog, Institut für Kraftfahrzeuge, RWTH Aachen University, Germany;
Aria Etemad, Ford Research & Advanced Engineering Europe

Decision Making and Threat Assessment for Automotive Collision Avoidance; Erik Coelingh, Volvo Car Corporation

Environment perception for automated vehicles; Angelos Amditis, Institute of Communication and Computer Systems

Driver Perceived Threat in Rear-End Collision Avoidance Situations – A Statistical Approach; Jitendra Shah, Ford Research & Advanced Engineering Europe

T05

Multisensor Fusion: Advanced Methods and Applications; Wolfgang Koch, Fraunhofer FKIE

Grid Based Fusion; Olivier Aycard, University of Grenoble 1 (UJF), France

Multi-sensor Calibration; Tobias Hanning, University of Passau, Germany


T06

Models and Filters for Camera Based Multi-Target Tracking; Mirko Meuter, Delphi Delco Electronics Europe GmbH

Towards Affordable Autonomy in Urban Settings: Enhanced Situational Awareness through Multi-platform Data Fusion; Emilio Frazzoli, Massachusetts Institute of Technology, USA

Sigma Point Estimation Techniques and their Application in the Kalman Filter Framework; Fredrik Sandblom, Volvo Group Trucks Technology, Advanced Technology & Research

Co-funded and supported
by the European Commission
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