SELF-DRIVING CARS

2. Light Detection and Ranging, a sensor used in autonomous vehicles to measure distances and detect obstacles using laser pulses.
5. A set of rules or instructions used by autonomous vehicles to make decisions based on data received from sensors and environmental inputs.
6. A moral challenge faced by self-driving cars, such as deciding who to harm in an unavoidable crash (e.g., the "trolley problem").
10. A subset of artificial intelligence that enables autonomous vehicles to improve their performance over time by learning from data and experience.
12. A vehicle capable of operating without human intervention, using sensors, cameras, and algorithms to navigate and make decisions.
13. The presence of systematic errors in artificial intelligence algorithms, often due to biased data, which could lead to unequal treatment or outcomes for certain groups of people.

1. The remote control of a self-driving vehicle by a human operator, used as a backup when the vehicle cannot handle a situation autonomously.
3. A sensor technology used in autonomous vehicles to detect objects and measure distances using radio waves.
4. The ability of autonomous vehicles to communicate with each other (Vehicle-to-Vehicle or V2V) and with infrastructure (Vehicle-to-Infrastructure or V2I) to share information for improved safety and efficiency.
7. The process by which autonomous vehicles sense and understand their environment using technologies such as cameras, radar, LiDAR, and ultrasonic sensors.
8. The protection of personal information collected by autonomous vehicles, including data about driving habits, location, and user behavior, raising concerns about surveillance and unauthorized access.
9. The inclusion of backup systems or sensors in an autonomous vehicle to ensure safety in case one system fails.
11. The legal responsibility for accidents or incidents involving autonomous vehicles, and the question of who is held accountable (e.g., the manufacturer, the programmer, or the vehicle owner).