Workshop Info

List of Workshops:

  1. Workshop on Benchmarking Road Terrain and Lane Detection Algorithms for In-Vehicle Application
  2. First Workshop on Naturalistic Driving Data Analytics: Issues and Possibilities
  3. Workshop on Human Factors in Intelligent Vehicles
  4. Workshop on Connected Vehicle - Southeast Michigan Connected Vehicle Test Bed Project 2014

TITLE: Workshop on Benchmarking Road Terrain and Lane Detection Algorithms for In-Vehicle Application

Click here for Call For Paper, or click here for more details.

Chunzhao Guo, Toyota Central R&D Labs., Inc., Japan (
José M. Álvarez, NICTA, Australia (
Jannik Fritsch, Honda Research Institute Europe, Germany (
Andreas Geiger, Max Planck Institute for Intelligent Systems, Germany (

Length: Half-day

Abstract: Detecting the road area and ego-lane ahead of a vehicle is central to modern driver assistance systems. While lane-detection on well-marked roads is already available in modern vehicles, finding the boundaries of unmarked or weakly marked roads and lanes as they appear in inner-city and rural environments remains an unsolved problem due to the high variability in scene layout and illumination conditions, amongst others. While recent years have witnessed great interest in this subject, to date no commonly agreed upon benchmark exists, rendering a fair comparison amongst methods difficult.

The target of this workshop is to bring together researchers active in the field in order to enable a better comparison of approaches. By encouraging submissions operating on public benchmarks (e.g., KITTI-ROAD, the workshop aims to foster research progress in road terrain and lane detection algorithms for application in real vehicles driving on arbitrary non-highway roads.

Relevant topics of interest include, but are not limited to:

- Road segmentation approaches operating on KITTI-ROAD
- Ego lane detection approaches operating on KITTI-ROAD
- New evaluation measures for comparing road terrain/lane detection algorithms
- Comparison of available road terrain/lane detection benchmarks 
- New benchmarks for road terrain/lane detection algorithms

Important Dates & Submissions

- Electronic submission of the workshop papers is due by February 22th, 2014 at . Submission code of the workshop is “5guea”
- Workshop paper is limited to a total of six pages including references. A maximum of two supplementary pages is permitted at an extra charge
- Peer-reviewed workshop papers will be included in the Conference Proceedings

Presentations without submitting a full paper

- Authors intending to present research progress on road detection at the workshop without submitting a full paper are invited to submit an extended abstract
- The extended abstract is limited to 1-2 pages of A4 size (including figures), and should be sent to the organizers via email before March 31st, 2014
- The extended abstract must be clearly reflect the contents of the paper, and accompanied by the following information: Title of paper; Name of author(s); Affiliation(s); Abstract; Corresponding author (Name, Affiliation, E-mail address) 
- The Organizing Committee will review the extended abstract. Accepted papers will be presented in an oral presentation at the workshop
- Extended abstract will not be included in the Conference Proceedings; however, they will be distributed to attendees in electronic format


TITLE: First Workshop on Naturalistic Driving Data Analytics: Issues and Possibilities

Click here for more details about this workshop. The detailed program and abstracts can be found here.

Date: June 8, 2014

Length: Half-day

Pujitha Gunaratne, Mohan Trivedi

Image, Radar, Lidar Signal Processing; Driver Assistance Systems; Active and Passive Safety

Understanding driver behaviors in real world driving context is a key component for developing intervening technologies for Intelligent Vehicles. Recent advancements in vehicle automation have raised the surge in understanding the driver state, driving environment, and the capabilities of intervention for safe and effective deployment of such technologies. To understand driver behaviors in real world driving context, researchers from different disciplines have investigated naturalistic driving data in the past. In recent works, Transportation Research Board of National Academies has completed a mammoth NDS data collection drive in their second Strategic Highway Research Program (SHRP2) that involved 3,000 drivers in the span of 2 years. The SHRP2 database is expected to contain more than 2 PB of video and vehicle sensor data and present a wealth of information of real world driving situations. Such NDS data are often collected with low resolution cameras and sensors, thus pose challenges to Computer Vision and Machine Learning techniques to deduce valuable inferences. Therefore, this workshop is aimed at investigating the challenges posed by naturalistic driving data to understand driver behaviors and driving context, and explores opportunities to develop ITS applications for Intelligent Vehicles.

Detailed Program:


Presentation Title & Authors


Workshop Introduction

Pujitha Gunaratne (Toyota CSRC), Mohan M. Trivedi (UCSD)


Naturalistic Driving Studies for Safety and Fuel Efficiency

Dave LeBlanc (UMTRI)


SHRP 2 Naturalistic Driving Study Program Overview and Next Steps

Charles R. Fay (TRB)


Naturalistic Driving Studies Data Acquisition & Database Description

Miguel A. Perez (VTTI)


Data Calibration and Characterization of DAS

Tom Karnowski (ORNL)


NDS Data Analysis Activities: Current and Future

Lincoln Cobb (FHWA)


Break & Demonstrations


Computer Vision for Observing Driver

Mohan M. Trivedi (UCSD)


Computer Vision for Observing Surround: Real-world Inspired Trajectory Planning

E. Rheder, Philipp Bender, Chistoph Stiller (KIT, Germany)


Behavior Signal Processing for Naturalistic Driving Data

K. Takeda (Nagoya, Japan)


Bayesian Agglomerative Sequence Segmentation for Naturalistic Driving Primitive Extraction

James Ward, Eduardo M. Nebot (Sydney)


Panel Discussion


Title: 3rd Workshop on Human Factors in Intelligent Vehicles
Sunday 8 June, Dearborn, Michigan, USA

Click here for Call For Paper.

SUBMISSION DEADLINE: February 15th, 2014

LENGTH: Half-day

The IEEE HFIV Workshop to be collocated with the 2014 IEEE Intelligent Vehicles Symposium, to be held in the Deaborn, Michigan, USA, June 8-11, 2014, will be the third edition of its series. This proposal follows up the successful events previously held in Alcalá de Henares, Spain, during IV 2012, and Gold Coast, Australia, during IV 2013.

The IEEE Workshop series on Human Factors in Intelligent Vehicles aims to foster discussion on issues related to the analysis of human factors in the design and evaluation of intelligent vehicles technologies, in a wide spectrum of applications and in different dimensions. It is expected to build upon a proper environment to disseminate knowledge and motivate interactions among the technical and scientific communities, practitioners and students, allowing state-of-the-art concepts and advances to be further developed and enhanced.

IV technologies have experienced a great improvement in the last couple of decades, turning vehicles into more interactive counterparts in transportation and mobility systems. However, the impact of such technologies on traffic awareness for the drivers and their behavior towards improving driving performance while reducing road accidents as well as psycho and physical exhaustion still demands proper tools and approaches. Whereas the feasibility of incorporating new technology-driven functionalities to vehicles has played a central role in the automotive design, not always safety issues related to interaction with the new in-vehicle systems have been taken into consideration. Additionally, other aspects are equally important and need to be analyzed, such as the impact technologies that support specific driving functions play on the primary task of driving the vehicle, as well as their impact on overall performance of transportation systems. Besides current industrial achievements that feature today’s vehicles with a number of important driving assistance systems, the perspective of autonomous driving vehicles populating urban settings pose even more challenging issues.

Also, the information and functionalities that rely on new ways of communication have to be presented in a non-intrusive way while complying with specific design requirements. A system that guarantees efficiency of use, comfort and user satisfaction is inarguably an important contribution towards a more conscious driving behavior that directly results from the adoption of IV technologies.


The HFIV’14 welcomes and encourages contributions reporting on original research, work under development and experiments of different fields related to Human Factors. Some topics of interest include (but are not limited to) the following:


Prospective authors are invited to submit contributions reporting on their current research and ideas that may potentially motivate active and fruitful discussion during the workshop. Each paper will be analyzed by the Workshop’s International Program Committee according to quality of presentation, relevance and potential contributions. Accepted papers will be included in the workshop proceedings in a digital format and will be published in IEEE explore.

Authors must follow the IEEE Conference format in the preparation of their manuscripts of maximum 6 pages in standard IEEE double column PDF format via the Papercept system for peer-review by the workshop International Program Committee.

All accepted papers will imply that at least one of the co-authors attends the workshop to present the work. Authors will be given a certain time to orally present their papers and discussion will be actively motivated among attendees.

Camera-ready manuscripts must be sent due on April 11th, 2014.

Further and up-to-date information can be found on the official web site of the workshop at



* Dr. Cristina Olaverri Monreal Institute of Ergonomics, Faculty of Mechanical Engineering, Technische Universität München, Germany,
* Dr. Rosaldo Rossetti Department of Informatics Engineering, University of Porto, Portugal,



TITLE: Workshop on Connected Vehicle - Southeast Michigan Connected Vehicle Test Bed Project 2014
The Southeast Michigan Connected Vehicle Test Bed Project is established to support US DOT and industry efforts on Connected Vehicles, focusing on the development of a tool set for deployment of Connected Vehicle applications by various user groups. The goal is to deploy stable, interoperable, and reliable Connected Vehicle systems that will serve as reference models for Affiliated Connected Vehicle Test Beds across the country.  This project represents a sample implementation of a COMPLETE connected vehicle system where common cryptographic processes and data exchanges are used.  The project team has been working on fundamentals of Connected Vehicle to define situation data, and to investigate and support the inclusion of common and consistent data exchange and communications security processes.
During this workshop, the Southeast Michigan Project Team will provide an overview of the Michigan Connected Vehicle Test Bed Project and will discuss in detail the Connected Vehicle system architecture, interoperability issues, USDOT’s efforts on Vehicle PlugFests, and implementation issues encountered in the project.  The organizers  of this workshop seeks to receive input from the technical community and to generate discussions on how this Project can support research on Connected Vehicles.
Session Organizer: Walton Fehr, US Department of Transportation Research and Innovative Technology Administration
William Whyte, Security Innovation
Tom Lusco, Iteris
Frank Perry, Leidos
Jim Marousek, Booz Allen Hamilton