Publications related to Driving

Haptics based collaborative steering control in automated driving environments

A vehicle's steering is a particular system in that it is exposed to individual subjective reviews based on criteria that are hard to assess quantitatively. Haptic design of such systems is a prime concern that has been at the center of industrial developm ...

EPFL2023

Haptics based multi-level collaborative steering control for automated driving

Hannes Bleuler, Jürg Alexander Schiffmann, Tomohiro Nakade, Robert Fuchs

Increasing the capability of automated driving vehicles is motivated by environmental, productivity, and traffic safety benefits. But over-reliance on the automation system is known to cause accidents. The role of the driver cannot be underestimated as it ...

2023

Motion planning for CAVs in mixed traffic, a study on roundabouts

Ezequiel González Debada

Driving is a very challenging task to automatize despite how naturally and efficiently it may come to experienced human drivers. The complexity stems from the need to (i) understand the surrounding context and forecast how it is likely to evolve, (ii) plan ...

EPFL2020

Towards everyday brain-computer interfacing through decoding visual cognition

Ruslan Aydarkhanov

Decoding visual cognition from non-invasive measurements of brain activity has shown valuable applications. Vision-based Brain-Computer Interfaces (BCI) systems extend from spellers to database search and spatial navigation. Despite the high performance of ...

EPFL2020

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Huaijian Zhang, Lucian Andrei Gheorghe, Sareh Saeedi, Zahra Khaliliardali, Marija Uscumlic, Ruslan Aydarkhanov

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

2018

Individual and Inter-related Action Unit Detection in Videos for Affect Recognition

Anil Yuce

The human face has evolved to become the most important source of non-verbal information that conveys our affective, cognitive and mental state to others. Apart from human to human communication facial expressions have also become an indispensable componen ...

EPFL2016

EEG-based decoding of error-related brain activity in a real-world driving task

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Huaijian Zhang, Lucian Andrei Gheorghe, Zahra Khaliliardali

Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

Institute of Physics2015

Factors affecting the adoption of vehicle sharing systems by young drivers

Dimitrios Efthymiou

Transportation patterns in big cities are redefined by the growing trend of car ownership and usage costs (e.g. the initial cost of buying a car, the constantly growing fuel prices, additional maintenance and insurance costs and the increased parking deman ...

2013

Detection of Anticipatory Brain Potentials during Car Driving

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Lucian Andrei Gheorghe, Zahra Khaliliardali

Recognition of driver’s intention from electroencephalogram (EEG) can be helpful in developing an in-car brain computer interface (BCI) systems for intelligent cars. This could be beneficial in enhancing the quality of interaction between the driver and th ...

Ieee2012

Autonomous driving in dynamic environments

Sascha Kolski

With the bigger number of cars on our roads every year, also the potential danger to die or get injured in road traffic increases. Most of these accidents are due to human error, while driver assistant systems like ESP help making traffic more safe. To inc ...

EPFL2008

Applicability of road safety indicators to assess driving risks under Swiss road conditions

André-Gilles Dumont, Edward Chung, Minh Hai Pham

Road traffic crash is a problem in every country. According to World Health Organization, in Europe there are about 127,000 people killed and at least some 2.4 million injured each year. Incident detection algorithms to detect incidents on motorways are we ...

2007

Mix-Zones for Location Privacy in Vehicular Networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Julien Freudiger, Mark Felegyhazi, Maxime Raya

Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. To do so, vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. However, this frequent messaging (e.g ...

2007

Adaptive cooperation between driver and assistant system to improve the road safety

Frédéric Holzmann

The last decades have seen the most important improvements of the safety on the road. But most of the accidents are still coming from the driver when a source of danger is not noticed or when the reaction is not correct during an unusual situation. Two way ...

EPFL2006

Omnidirectional Active Vision for Evolutionary Car Driving

Dario Floreano, Mototaka Suzuki, Jacob Van der Blij

We describe a set of simulations to evolve omnidirectional active vision, an artificial retina scanning over images taken via an omnidirectional camera, being applied to a car driving task. While the retina can immediately access features in any direction, ...

2006

Precise Road Geometry for Integrated Transport Safety Systems

Jan Skaloud, Pierre-Yves Gilliéron, Hervé Gontran

A safer mobility is a key concern for the strategy of the European governments and automotive industries. At the moment, a new generation of Intelligent Integrated Transport Safety Systems (IITSS) offers a promising potential to address this issue. Such co ...

2005