Sensors & Hardware Easy

Sensors & Hardware (Easy)

1 / 18

Why do autonomous vehicles use multiple cameras instead of just one?

To compensate for the vehicle's movement

To capture different angles

To reduce power consumption

To replace mirrors

Fact:
Embedded systems are lightweight computers small enough to fit inside a vehicle. They can be used for onboard processing of sensor data and AI algorithms.

2 / 18

Most modern cars have a little fin on the roof. In an autonomous, connected future, what is this component's main function?

It is a backup camera.

It is a cooling vent for the AI computer.

It acts as a rudder for aerodynamics at high speeds.

It houses antennas that let the car 'talk' to other cars and traffic lights.

Fact:
C-V2X communication uses the 5.9 GHz band for dedicated short-range communication, enabling data exchange that does not rely solely on cellular networks.

3 / 18

What is sensor fusion in the context of camera and LiDAR systems?

Using only a camera to detect objects

Combining data from a camera and LiDAR to get better understanding of the environment

Replacing LiDAR with a camera

Storing sensor data without processing it

Fact:
Radar can directly measure object velocity using the Doppler effect, making it more reliable than LiDAR in poor weather conditions

4 / 18

What type of sensor uses laser light to create a 3D map of the surroundings?

Radar

Ultrasonic sensor

LiDAR

Camera

Fact:
Self-driving cars use different types of sensors like cameras, radar, and LiDAR to see the world around them. These sensors work together so the car can still understand its surroundings even if one sensor is blocked or affected by weather.

5 / 18

Why is ROS2 suitable for ODD-aware decision-making systems?

It provides synchronous communication

It enables deterministic, scalable communication

It removes sensor redundancy

It replaces the behavior planner

Fact:
Modern AVs combine LiDAR, radar and cameras so perception remains reliable even when one sensor degrades.

6 / 18

What is the main limitation to the adoption of GNSS/GPS sensors for autonomous driving?

High cost

Low accuracy

They are bulky

GPS does not work in Europe

Fact:
Vehicular hardware shall be designed taking into account the overall physical constraints of the vehicle, and this means that performances can be traded for small sizes and power consumtion

7 / 18

Which hardware component is essential for the high-speed parallel processing needed for AI tasks, like object detection, in autonomous vehicles? [cite: 3380, 6135]

CPU

GPU

RAM

SSD

Fact:
Modern autonomous cars use powerful Graphics Processing Units (GPUs), similar to high-end gaming computers, to instantly process massive amounts of sensor data and make safe AI-driven decisions.

8 / 18

What does V2X communication allow a vehicle to do?

Exchange information with vehicles, infrastructure, networks, or other road users

Change its paint color automatically

Refuel without energy

Ignore traffic signs

Fact:
Connected vehicles can use V2X communication to exchange safety-relevant information with other vehicles and infrastructure.

9 / 18

What is Ultra-Wideband (UWB) especially useful for in smart access systems?

Precise short-range positioning and distance estimation

Cooking food in the vehicle

Changing tire size

Painting road markings

Fact:
Ultra-Wideband can support precise short-range positioning, which is why it is increasingly discussed for digital vehicle access.

10 / 18

What is the main advantage of using radar over LiDAR in adverse weather?

Radar provides color imaging

Radar signals penetrate fog, rain, and dust better than LiDAR

Radar consumes less power

Radar requires no calibration

Fact:
Radar hardware in distributed systems must be designed considering deployment constraints such as size, power consumption, and environmental conditions. Performance can be optimized through strategic placement and cooperative operation of multiple radar nodes. These nodes work together to provide a complete picture, so even if one unit is blocked or fails, the system still delivers accurate coverage.

11 / 18

What is the main reason radar systems use millimeter-wave frequencies (e.g., 77 GHz) in vehicles?

To reduce cost

To achieve compact antennas and high resolution

To avoid interference with Wi-Fi

To increase power efficiency

Fact:
Radar hardware in distributed systems must be designed considering deployment constraints such as size, power consumption, and environmental conditions. Performance can be optimized through strategic placement and cooperative operation of multiple radar nodes. These nodes work together to provide a complete picture, so even if one unit is blocked or fails, the system still delivers accurate coverage.

12 / 18

Why is radar preferred over cameras for certain automotive applications?

Radar provides high-resolution color images

Radar is less affected by weather and lighting conditions

Radar eliminates the need for calibration

Radar consumes less power than all other sensors

Fact:
Radar hardware in distributed systems must be designed considering deployment constraints such as size, power consumption, and environmental conditions. Performance can be optimized through strategic placement and cooperative operation of multiple radar nodes. These nodes work together to provide a complete picture, so even if one unit is blocked or fails, the system still delivers accurate coverage.

13 / 18

Which type of sensor uses laser light to estimate distances to objects?

LiDAR

AM radio

Thermometer

Seat sensor

Fact:
MEMS mirrors can help make optical scanning systems compact by steering light beams with tiny moving mechanical structures.

14 / 18

What is virtual sensing?

A method that replaces all physical sensors in a vehicle

A technique that uses models to estimate values not directly measured by physical sensors

A form of wireless communication between sensors

A hardware module that stores sensor data

Fact:
Virtual sensing complements physical sensors by estimating values that are difficult or expensive to measure directly.

15 / 18

Which types of sensors are commonly used to perceive the environment in autonomous or tele-operated machines?

Cameras, radar, and LiDAR

Only GPS and compass

Mechanical switches

Engine speed sensors only

Fact:
LiDAR uses laser pulses to measure distances and create precise 3D maps of the vehicle’s surroundings.

16 / 18

Which sensor technology is commonly used in smartwatches to measure heart metrics for fatigue monitoring?

LiDAR

PPG (Photoplethysmography)

Ultrasonic

Radar

Fact:
Wearable devices such as smartwatches and sensor-equipped gloves are utilized to monitor physiological parameters like Heart Rate Variability (HRV) using PPG sensors . In the context of lightweight electric vehicles, hardware includes safety-compliant inverters designed to integrate with monitoring systems for real-time safety.

17 / 18

Which sensor detects motion by capturing changes in light intensity at the pixel level?

Radar

Dynamic Vision Sensor

Ultrasonic Sensor

LIDAR

Fact:
Dynamic Vision Sensors (DVS) detect changes in brightness asynchronously at each pixel, enabling ultra-low latency motion detection.

18 / 18

Which sensor type commonly measures distance and relative speed using radio waves?

Camera

Radar

Microphone

GPS receiver

Fact:
Sensors such as radar, cameras, and LiDAR are most useful when their measurements are accurately aligned to the vehicle and to each other.

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Autonomous Vehicles Quiz Game

Sensors & hardware – Easy

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