Human Sensing in Intelligent Vehicles
4th International Workshop on “In-cabin human-sensing and interaction in intelligent vehicles” (HSIV-2023)
Sponsored by IEEE ITS Technical Committee on Data Analytics and Intelligent Systems for Advanced Driving and Mobility (DAISY)
IEEE Intelligent Vehicles Symposium - IV2023
Anchorage, Alaska, USA
June 4, 2023
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.
Please register for the workshop here
IEEE ITSS members will receive a free workshops day only registration!
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
Dr. John Gideon
Dr. John Gideon is a Senior Research Scientist at Toyota Research Institute, whose research focuses on understanding various aspects of the driver state. His prior work has examined the detection of surprise, heart rate, and precise gaze estimates from video. His current work aims to combine driver-facing technology with driving scene understanding to allow for fully context-aware driver intervention systems. John holds a doctorate degree in computer science from the University of Michigan and currently resides in Cincinnati, Ohio.
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
Driver and occupant monitoring
Cognitive distraction
Driver readiness
Automated annotation
Data augmentation
Driving simulation
Head pose estimation
Attention estimation
Occupant state/behavior
Occupant pose estimation
Emotion estimation
Driver workload
Physiological sensing
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
Pujitha Gunaratne, Ph.D.
Chair, Technical Committee on NDDAIEEE Intelligent Transportation Systems Society