Self-driving cars rely on hardware and software to drive down the road without user input. The hardware collects the data; the software organizes and compiles it.This animation explains the basic operation of self-driving vehicles.
source/image(PrtSc): Thomas Schwenke
Self-driving cars combine a variety of sensors to perceive their surroundings, such as radar, lidar, sonar, GPS, odometry and inertial measurement units. Watch the video from Thomas Schwenke for more info:
The challenge for driverless car designers is to produce control systems capable of analyzing sensory data in order to provide accurate detection of other vehicles and the road ahead.
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Modern self-driving cars generally use Bayesian simultaneous localization and mapping (SLAM) algorithms,[63] which fuse data from multiple sensors and an off-line map into current location estimates and map updates.
Content
- 1) Sensors (radar, camera, LIDAR, ultrasonic)
- 2) LIDAR as a key component (with lightrays)
- 3) Cameras for obstacle and lane recognition
- 4) GPS and digital maps
- 5) Odometric data and sensors
- 6) Processors (chips) for data fusion
