Skip to Main Content
  • Carleton.ca
  • About
  • Admissions
    • Undergraduate
    • Graduate
  • Academics
  • Research
  • Campus
  • Future Students
    • Undergraduate
    • Graduate
  • Current Students
    • Undergraduate
    • Graduate
  • Faculty/Staff
  • Alumni
Carleton University Carleton University shield

SAM3 AGE-WELL National Innovation Hub

  • Search SAM3 AGE-WELL National Innovation Hub Magnifying glass
  • Browse site navigation Menu icon

Home / Expertise / ExpVideo / Lochbihler, Aidan “Methods for Classifying Driver Engagement in Autonomous Vehicles Using Physiological Sensors.” MASc diss., Carleton University, 2024.

Lochbihler, Aidan “Methods for Classifying Driver Engagement in Autonomous Vehicles Using Physiological Sensors.” MASc diss., Carleton University, 2024.

Sunday, January 5, 2025

  • Home
  • About SAM3
  • SAM3 Projects
  • SAM3 Expertise
  • SME Support for Aging in Place Technology
  • SAM3 Researchers
  • SAM3 Publications
  • SAM3 Videos
  • SAM3 NewsLetter
  • Positions Available
  • News
  • Contact

Link to Thesis

Sunday, January 5, 2025  |  Categories: ExpCognition, ExpDriving, ExpFusion, ExpVideo, Pub_Aidan, Pub_NRC_Drive, Pub_TC, Pub_thesis
Share: Twitter, Facebook
Short URL: https://carleton.ca/sam3/?p=2066

  • Systems and Computer Engineering
  • 5200 ARISE
  • Carleton University
  • 1125 Colonel By Drive
  • Ottawa, ON, K1S 5B6
  • Dr. Bruce Wallace
  • View Map
Visit Carleton University Homepage
  • Privacy Policy
  • Accessibility
  • © Copyright 2025

Search

Site Menu

  • Home
  • About SAM3
  • SAM3 Projects
  • SAM3 Expertise
  • SME Support for Aging in Place Technology
  • SAM3 Researchers
  • SAM3 Publications
  • SAM3 Videos
  • SAM3 NewsLetter
  • Positions Available
  • News
  • Contact