A Solution for Cross-Calibration of Gaze Tracker System and Stereoscopic Scene System
- Resource Type
- Conference
- Authors
- Heidari, Farzan; Dalirani, Farhad; Rahman, Taufiq; Cheema, Daniel Singh; Beauchemin, Steven S.; Bauer, Michael A.
- Source
- 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) Intelligent Transportation Systems (ITSC), 2023 IEEE 26th International Conference on. :1692-1698 Sep, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Three-dimensional displays
Stereo image processing
Machine vision
Roads
Sensors
Next generation networking
Vehicles
- Language
- ISSN
- 2153-0017
There is evidence that shows that the majority of all vehicle accidents are caused by human error. This has been the major motivation for advancements in Advanced Driving Assistance Systems (ADAS). A driver's gaze can provide valuable information about the focus and intention of a driver. Therefore, determining the degree of driver awareness and scene perception, and predicting driver intentions can be valuable in the next generation of ADAS. To this end, we have instrumented a vehicle with a front-facing stereoscopic vision system on the roof of the vehicle and a camera gaze tracking system pointing toward the driver's face. These are two completely different systems with dissimilar sensing modalities. Data is collected separately from these systems and when calibrated can be used to estimate the Point-of-Gaze (PoG) of the driver. We present an efficient approach for the cross-calibration of the gaze tracker with the stereoscopic vision system. The experimental results show that our proposed cross-calibration technique obtains promising results for estimating Point-of-Gaze (PoG).