WORKSHOP DETAILS

WS24: Communication for Connected and Cooperative Driving
( CFP )

Workshop Code: 27iv2

Time: 13:30-17:00

Chair

• Karl Granström
  Affiliation: Chalmers University of Technology, Sweden
  E-mail: karl.granstrom@chalmers.se

• Xinyu Zhang
  Affiliation: Tsinghua University, China
  E-mail: xyzhang@tsinghua.edu.cn

• Pr Jean-Philippe LAUFFENBURGER
  Affiliation: Université de Haute-Alsace (Mulhouse)
  E-mail: jean-philippe.lauffenburger@uha.fr

Scope and Goals

This workshop is dedicated to the requirements, recent advances and prospective work in communication technologies aiming to make cooperative driving possible. Nowadays intelligent vehicles sense their neighboring environment exclusively with onboard sensors. Due to intrinsic (range) or external (obstruction by static or dynamic obstacles) limitations, the area and the accuracy of this sensing are limited. The exchange of locally sensed information between several communicating nodes (i.e. vehicles, infrastructure) can help to overcome temporary blindness or extend the perception area.

However, candidate communication technologies (Cellular (4G, 5G), WiFi, etc.) have to be adapted to the use cases of cooperative driving and intelligent transportation systems.

The goal of this workshop is to gather and discuss scientific work about communication technologies suited for V2X communication in the constrained area of cooperative collaborating vehicles. Also, security issues which come up with the online connectivity of vehicles, shall be discussed.

Topics of Interest

• 4G, 5G, Wifi, Light-based V2X communication for cooperative driving
• Use case definitions for intelligent vehicles
• Security issues in communication for cooperative driving
• V2X communication performance test and evaluation (packet loss, latency, drop out, etc.

Schedule

• Bayesian Framework for Autonomous Vehicle Localization
  ID:572

• Multi-Objective Adaptive Cruise Control Strategy Based on Variable Time Headway
  ID:138

• Lane Detection and Road Surface Reconstruction Based on Multiple Vanishing Points
  ID:517

• Low Latency V2X Applications and Network Requirements: Performance Evaluation
  ID:383