AUTONOMOUS VEHICLES “WHERE TECHNOLOGY DRIVES ”

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AUTONOMOUS VEHICLES “WHERE TECHNOLOGY DRIVES ”

A Journey Through Time: The Evolution of AV The concept of self-driving cars began with Leonardo da Vinci's 16th-century designs and progressed through Francis P. Houdina's 1925 radio-controlled car and Norman Bel Geddes' 1939 futuristic visions. Major advancements came with DARPA's 2004 and 2008 challenges, which demonstrated the viability of autonomous technology. Mobileye then revolutionized the field by integrating advanced sensors and mapping into vehicles, paving the way for the widespread adoption of self-driving cars. Inside Autonomous Cars: The Role of Sensors, Algorithms, and Machine learning Autonomous cars rely on sensors, actuators, complex algorithms, machine learning systems, and powerful processors to execute software. Autonomous cars create and maintain a map of their surroundings based on a variety of sensors situated in different parts of the vehicle. Radar sensors monitor the position of nearby vehicles. Video cameras detect traffic lights, read road signs, track other vehicles, and look for pedestrians. Lidar (light detection and ranging) sensors bounce pulses of light off the car’s surroundings to measure distances, detect road edges, and identify lane markings.An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere a traditional car goes and do everything that an experienced human driver does.

Anushka Tiwari
Darshika Truivedi
Nikhil Dubey
Yogita Prajapati 
Gaurav Yadav

T.Y.BSc.(I.T.)



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