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Google driverless car
Google driverless carPREM97
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Google has been working on autonomous vehicle technology led by Sebastian Thurn since 2007. They have tested prototype vehicles that are equipped with laser-based LIDAR systems and other sensors to allow for driverless operation. The vehicles have driven over 500,000 accident-free miles on public roads. While legislation and rules are still being developed, some jurisdictions like Nevada and California have passed laws explicitly allowing autonomous vehicles. However, autonomous vehicles still struggle with some conditions like heavy rain or snow and may not be able to handle all road situations.Google car harish_badu
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The document discusses Google's driverless car technology, highlighting its autonomous capabilities such as collision avoidance, optimal speed, and convenience for users. It outlines the advantages of driverless vehicles, including reduced accidents and better traffic flow, while also considering potential drawbacks regarding car ownership. It includes information on legal developments related to autonomous car testing across various U.S. states and Europe.DRIVER LESS CAR
DRIVER LESS CARKiran Shahzadi
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This document discusses automated or driverless cars. It describes how driverless cars use sensors like LIDAR and radar along with artificial intelligence, GPS, and Google Maps to navigate without human intervention. The car's AI software is connected to all sensors and controls systems like steering and brakes based on input from sensors and maps. Major companies developing driverless car technology include Google, GM, Ford, Audi, BMW, Volkswagen and Volvo. Benefits include eliminating accidents from human error, improving traffic flow, and allowing passengers to work or rest while the car drives itself.google driver less car
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The document discusses Google's driverless car project. It provides a brief history of how Sebastian Thrun developed the first Google driverless car prototype in 2014. The key components that enable the car's autonomous capabilities are described, including LIDAR sensors that map the environment, radar sensors that detect obstacles, video cameras, and position estimators. The artificial intelligence processes sensor data and maps to determine how to accelerate, brake, and steer safely. Potential advantages are reducing accidents, increasing road capacity, and saving fuel.Google's Driverless Car report
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