Team Evaluation (Autonomous Driving)

Team Evaluation: Autonomous Driving

This is a team evaluation session where each team solves a quiz.
  • Let's use what we've learned so far to find the answer to the quiz.
  • It's time to find the answer to some of the quizzes below.
  • After answering the team quiz, there will be presentations by each team.
Topic:
  1. Autonomous Driving essential questions

    1. Definition: What is the definition of autonomous driving, and how does it differ from traditional driving?

    2. Levels of Autonomy: Briefly explain the levels of autonomy in the context of autonomous driving, from Level 0 to Level 5.

    3. LiDAR Technology: How does LiDAR contribute to the perception system in autonomous vehicles?

    4. Camera Systems: What role do camera systems play in the perception stack, and what challenges do they face?

    5. Radar Applications: How is radar utilized in autonomous driving, and what are its advantages in certain scenarios?

    6. Emergency Situations: How can decision-making algorithms handle unexpected or emergency situations on the road?

    7. Collision Avoidance Systems: How do collision avoidance systems work in autonomous vehicles?

    8. V2X Communication: What is Vehicle-to-Everything (V2X) communication, and how does it enhance the capabilities and safety of autonomous vehicles?

    9. Human-Machine Interaction: What role does human-machine interaction play in the design and deployment of autonomous driving systems, especially in the transition phases between manual and autonomous modes?

    10. Road Infrastructure for Autonomy: How can road infrastructure be optimized or adapted to better support the deployment and functionality of autonomous driving systems?

  2. Autonomous Driving choice questions

    1. Obstacle Avoidance: How do decision-making algorithms handle obstacle avoidance in real-time?

    2. Simultaneous Localization and Mapping (SLAM): What is SLAM, and how does it contribute to the localization of autonomous vehicles?

    3. GPS and GNSS Systems: How do GPS and GNSS systems enhance the localization accuracy of autonomous vehicles?

    4. Weather Conditions: How do adverse weather conditions pose challenges to autonomous driving systems?

    5. Cybersecurity Concerns: What cybersecurity challenges are associated with autonomous driving, and how can they be addressed?

    6. Ethical Dilemmas: How do autonomous driving systems deal with ethical dilemmas on the road?

    7. Economic Opportunities: What economic opportunities are emerging as a result of advancements in autonomous driving technology?

    8. LiDAR vs. Radar: Compare and contrast the strengths and weaknesses of LiDAR and radar technologies in the context of perception for autonomous vehicles.

    9. Liability and Insurance: What legal and liability considerations arise in the event of accidents involving autonomous vehicles, and how can insurance models adapt to this evolving landscape?

    10. Autonomous Ride-Sharing: What role does autonomous driving technology play in the future of ride-sharing services, and how might it reshape urban mobility?

Evaluation Standard:

  1. Choose one Autonomous Driving essential question and one Autonomous Driving choice question to submit your report.

  2. Write a report about what you felt after watching the video.

  3. The report evaluation criteria are as follows.

    • A+ : Write at least 20 pages

    • A : Write at least 15 pages

    • B+ : Write at least 10 pages