AUTONOMOUS VEHICLE - PATH PLANNING AND TRAJECTORY OPTIMIZATION
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Date
2025-05-06
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Abstract
Autonomous vehicles integrate a range of advanced sensors, artificial intelligence (AI),
machine learning, and robotics to make real-time decisions, control the vehicle's
movements, and ensure safety while navigating a variety of road environments.
Autonomous vehicles rely on an array of sensors LiDAR (Light Detection and Ranging)
Cameras Radar Ultrasonic Sensors to perceive their surroundings. AI algorithms,
particularly deep neural networks, are employed to process the massive amounts of data
collected by the sensors. These models help the vehicle "understand" the environment and
make decisions such as identifying pedestrians, traffic signs, and road conditions.
Autonomous vehicles represent a major leap forward in the evolution of transportation.
By leveraging cutting-edge technologies in AI