Human Sensing in Intelligent Vehicles

The 2nd Workshop on In-cabin Human Sensing in Intelligent Vehicles

Nagoya University, Nagoya, JAPAN.

The 2nd International Workshop on “In-cabin human-sensing and interaction in intelligent vehicles” (HSIV-2021)

Sponsored by IEEE ITS Technical Committee on Data Analytics and Intelligent Systems for Advanced Driving and Mobility (DAISY)

IEEE Intelligent Vehicles Symposium - IV2021

July 11, 2021 | Nagoya University, Nagoya, JAPAN

Past Workshops

Registration (Free / Paid options available)

Join Zoom Meeting

https://zoom.us/j/93074105580?pwd=TzNaSnBjV2Jsd2lNSzQxUi9DUTRyQT09

Meeting ID: 930 7410 5580
Passcode: 208020

Program (online)

Date: July 11, 2021

Time: 09:00 - 12:00 (JST)

Meeting link: https://zoom.us/j/93074105580?pwd=TzNaSnBjV2Jsd2lNSzQxUi9DUTRyQT09

Agenda:

09:00 - 09:15: Welcome Session (organizing committee)

09:15 - 09:45: Human Sensing for Human-System Interaction - Insights from Nissan R&D (Dr. Tsuyoshi Sakuma, NISSAN Motor Co.)

09:45 - 10:15: Detecting Impediments to Safe Driving and Designing Affective Interventions (Dr. Ajjen Joshi, Affectiva)

10:15 - 10:30: Break

10:30 - 10:50: Contributed Talk - Driver Drowsiness Detection Using EEG Signals (Mr. Miankuan Zhu)

10:50 - 11:20: Cognitive Distraction Detection in L2 Driving (Dr. Shiyan Yang, Seeing Machines)

11:20 - 11:50: Intelligent vehicle and sensor self-powered technology (Dr. Zutao Zhang, Southwest Jiaotong University)

11:50 - 12:00: Closing remarks (organizing committee)

Scope

In recent years, driver monitoring, and in general, in-cabin human-sensing has become an emerging research topic with the advent of driving automation systems. Key safety-critical problems in automated vehicles such as driver readiness, inattention, and drowsiness 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, human-factors, 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
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

Invited Speakers

Dr. Tsuyoshi Sakuma

Senior Manager, Mobility and AI Lab.
NISSAN Motor Co. - Japan

Topic: Human Sensing for Human-System Interaction - Insights from Nissan R&D (tentative)

Dr. Tsuyoshi Sakuma is a Senior Manager of Mobility and AI laboratory, NISSAN Motor Co., Ltd.. His research focus is on Human Machine Interfaces in a broad sense. He joined Nissan in 2003, and since he has worked on R&D teams on HMI, AD/ADAS, mobility and services. His latest research is focused on brain science to unravel the mechanism of driving decision making. He obtained his Ph.D. from the School of Creative Science and Engineering, Waseda University, Japan.

Dr. Shiyan Yang

Senior Research Scientist,
Seeing Machines - Australia

Topic: Cognitive Distraction Detection in L2 Driving

Dr. Shiyan Yang is a Senior Research Scientist at Seeing Machines. His research focuses on driver state detection in complex, real-world scenarios based on a wide range of human and vehicle sensing data. Before joining Seeing Machines, he led studies of driver experience and behavior in automated truck platooning at UC Berkeley. He obtained his PhD in Industrial & Systems Engineering at Texas A&M University.

Dr. Ajjen Joshi

Senior Research Scientist, Affectiva - USA

Topic - Detecting Impediments to Safe Driving and Designing Affective Interventions

Dr. Ajjen Joshi is a Senior Research Scientist at Affectiva, where he works on various problems in human perception and affective computing, with a focus on automotive use-cases. He obtained his PhD from Boston University in 2018, where he was a member of the Image and Video Computing research group.

Dr. Zutao Zhang

Professor, Southwest Jiaotong University - China

Topic - Intelligent vehicle and sensor self-powered technology

Dr. Zutao Zhang is a Professor at the School of Mechanical Engineering, Southwest Jiaotong University. His research focuses on new energy vehicle energy harvesting and storage technologies, and intelligent vehicles and their auxiliary safety technologies. He received his Ph.D. degree at the school of Information Science and Technology from Southwest Jiaotong University, Chengdu, Sichuan, China.