Introduction
Self-Driving cars, also termed as autonomous vehicles cars have incorporated a number of technologies that help manage their operations without the need for a driver. Key to this technology are sensors, machine learning systems, and information technology.
The primary elements are LiDAR, cameras, radar, and ultrasonics. LiDAR works to produce a three-dimensional image of the environment that the vehicle is being operated in. Elon Musk's team in their recent car used cameras for capturing images and video to detect and identify objects. Radar estimates the distance of nearby objects and how fast they are moving so that the car can avoid getting to close to objects and assess traffic.
After this data is gathered, the data is analyzed on onboard computers by use of computer learning. Some of these computers' tasks are, detecting objects, planning a path, and driving the vehicle at the right moments e.g. stopping before pedestrians or turning in an intersection.
Conclusion
To conclude, self-driving vehicles indeed are among technological advances. It is further expected that as these systems are being more perfected, they will improve the security of the roads and change the means of transport considerably.
References
IEEE Spectrum "How Self-Driving Cars Work."
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