The Synergy Between Machine Learning and Deep Learning for Self-Driving Cars

As we navigate the fast-paced world of autonomous mobility, let’s dive into a fundamental aspect of self-driving car technology: the synergy between machine learning and deep learning. Machine learning is the backbone of self-driving cars, enabling them to learn from data and make decisions. Deep learning, a subset of machine learning, involves intricate neural networks that mimic human brain functions, allowing cars to understand complex patterns and contexts. <h2>But how do these technologies drive self-driving cars forward?</h2> LiDAR and Sensors: LiDAR, or Light Detection and Ranging, is a revolutionary sensor that employs laser pulses to map the car’s surroundings in real-time. This high-resolution mapping, combined with data from cameras, radar, and ultrasonic sensors, creates a comprehensive 360-degree view of the environment. <a href="https://medium.com/@autodriveai/the-synergy-between-machine-learning-and-deep-learning-931e85be66c6">Click Here</a>