jefmenegazzo/Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-Intelligence
Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence
This project helps automotive engineers and researchers build advanced driver-assistance systems (ADAS) and autonomous vehicles. It takes raw data from inertial sensors (accelerometers, gyroscopes), GPS, and cameras, then uses AI models to identify specific road features like potholes, cracks, and speed bumps, as well as driving behaviors such as braking, lane changes, or skidding. The output is a clear understanding of the vehicle's surroundings and its own movement, crucial for improving vehicle safety and autonomy.
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Use this if you need to analyze vehicular movement and environmental conditions using inertial sensor data to develop or enhance intelligent transportation systems.
Not ideal if your primary focus is on visual object detection or high-fidelity 3D mapping of environments without integrating inertial sensing for perception.
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Mar 14, 2021
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