ISO 26262:2018 Road vehicles -- Functional safety Free Practice Test — 30 Questions

30 questions · Full explanations · No account required

Free
Question 1 of 30

VisionDrive Technologies, an automotive supplier, is developing a new Driver Monitoring System (DMS) that uses computer vision to detect driver drowsiness and distraction. Given the potential for variations in lighting conditions, driver characteristics, and other factors to affect the accuracy and reliability of the DMS, which of the following strategies would be most effective in ensuring the system\'s performance, considering the requirements of ISO 26262 and the need for robust and reliable detection? The company has expertise in computer vision and machine learning.

Train and validate the DMS algorithms using a large and diverse dataset that includes images and videos captured under various lighting conditions, with different driver characteristics, and with different types of eyeglasses.
Train the DMS algorithms using a small and homogeneous dataset that only includes images and videos captured under ideal lighting conditions with a limited set of driver characteristics.
Rely solely on synthetic data generated by computer simulations to train the DMS algorithms, without using any real-world data.
Deploy the DMS without any formal validation or testing, relying on feedback from early adopters to identify and address any performance issues.

About the ISO 26262:2018 Road vehicles -- Functional safety Certification

These free practice questions are designed to help you assess your readiness for the ISO 26262:2018 Road vehicles -- Functional safety exam by ISO. Each question comes with a detailed explanation to reinforce the correct concept. For a complete exam preparation experience with hundreds of questions, spaced-repetition study tools, and full exam simulations, explore our premium access.