Important Dates 

February 01, 2023: Workshop Paper Submission Deadline (Closed)

March 30, 2023: Workshop Paper Notification of Acceptance

April 22, 2023: Workshop Final Paper Submission Deadline

June 4, 2023: Workshops Day

Workshop Code: WS13

UPDATE (June 1): Updated the agenda.

Program

Date: June 4, 2023

Duration: 13:40 – 16:40

Location: Room 2 (onsite/online)

Registration: Please register here

Note: IEEE ITSS members will receive a free workshops day on registration

[13:40 - 13:45] Welcome adress (5 mins)

[13:45 - 14:15] (Paper 1) Transfer Learning for Driver Pose Estimation From Synthetic Data
Daniel Sagmeister*; Dominik Schörkhuber; Matej Nezveda; Fabian Stiedl; Maria Schimkowitsch; Margrit Gelautz

[14:15 - 14:45] (Paper 2) ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
Yunsheng Ma*; Ziran Wang

[14:45 - 15:15] (Paper 3) Viewpoint Invariant 3D Driver Body Pose-Based Activity Recognition
Manuel Martin*; David Lerch; Michael Voit

[15:15 - 15:45] Invited talk: Unsupervised Multi-View Gaze Representation Learning - Dr. John Gideon, Toyota Research Institute

[15:45 - 16:30] Panel Discussion: “The future of in-cabin human-sensing in intelligent vehicles: challenges and opportunities” (authors and invited speakers)

[16:30 - 16:40] Closing remarks

*corresponding author / presenter.
Presentation time will be 20 mins, followed by a Q&A of 10 mins. (Total - 30 mins/talk)

Invited Speakers

Background

In recent years, in-cabin human-sensing has become an emerging research topic with the advent of automated driving (AD) and advanced driver assistance systems (ADAS). Key safety-critical problems in automated vehicles as well as manually driven vehicles such as inattention, drowsiness, and driver readiness could be effectively solved by using driver monitoring systems. In addition, looking into the future of Level 3 systems and MaaS (Mobility-as-a-Service), new mobility related services could be offered based on driver/user state and behavior obtained using in-cabin human-sensing systems.

This workshop will bring together researchers in areas including perception, cognition, estimation, machine learning, multi-modal sensing, data analytics, and human-robot/machine/agent interaction. The organizers expect increased industry and government/regulatory research participation to help clarify the challenges, balance the various perspectives, and further the discussions. 

Topics

Objectives

• Recognize and motivate future requirements and emerging technologies of in-cabin human sensing for automated vehicles

• Identify capability gaps in modern in-cabin human sensing systems

• Share and discuss novel research that will enable solutions to those problems

• Find synergies among researchers who work in similar human-sensing areas but consider different applications

Organizers