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  • Essay / Google Self-Driving Car Report and Technologies Used

    Table of ContentsIntroductionTechnologyLIDARGPSHardware SensorsArtificial IntelligenceAdvantagesDisadvantagesConclusionIntroductionGoogle Self-Driving Car, commonly abbreviated as SDC, is a project undertaken by GOOGLE . The software that powers Google cars is called Google Driver. The project is currently led by Google Engineer. It all started with the 2005 DARPA Grand Challenge, where a team from Stanford University led by Dr. Thrun developed a robotic vehicle, Stanley, and took first place, winning $2 million as departmental prizes. American Defense. Dr. Thrun leads the Google team of 15 engineers working on this dream project. Say no to plagiarism. Get Custom Essay on “Why Violent Video Games Should Not Be Banned”?Get Original Essay Self-driving car assimilates Google Maps with artificial intelligence software and various hardware sensors including LIDAR, video camera, the position estimator and the distance sensors. The driver's seat is occupied by drivers with excellent track records and the co-pilot's seat is occupied by Google's engineer. Google plans to make these cars available to the public in 2020. DefinitionA driverless vehicle is a robotic vehicle designed to travel between destinations without a human operator. To be considered fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination on roads that have not been adapted for its use. TechnologyLIDARLidar (also written LIDAR, LiDAR) is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light. Although some assume it is an acronym for Light Detection And Ranging, the term lidar was actually created as a portmanteau of "light" and "radar." This is similar to radar technology which uses radio waves and the distance to a target is obtained by calculating the delay that occurs during the transmission of the pulse and detection of the reflected signal. For object imaging, LiDAR uses UV, near-infrared, or visible light. The components that make up a LiDAR include the laser, scanner and optics, photodetector and receiver electronics, and position and navigation systems. GPS This is a satellite-based global steering system that provides geolocation and weather information to a GPS receiver anywhere on or near Earth where there is a clear line of sight to four satellites GPS or higher. GPS provides critical positioning capabilities to military, civilian and commercial users around the world. In Google Driverless Cars, Google Maps is linked to GPS and provides precise location while acting as a database. Speed ​​limits are integrated into maps that control the car at restricted speeds based on the nature of the roads and terrain. They also provide the car with information about upcoming intersections and nearby collisions, if any. Accessibility of traffic reports will help the car control its speed, which is also available with Maps. Overall, Maps will offer the directions for the car to move without any human intervention. Hardware sensors The environment is so alive that real-time updates must be provided to the self-driving car to achieve maximum efficiency. This is achieved using hardware sensors built around the car. The sensors.