Learn how to implement an AI-powered autopilot and self-driving system in the current era, where human control over vehicles involves managing steering, brakes, and acceleration. Advancing from basic automated features like automatic braking and stability control, we move towards a fully automated system where the driver merely monitors the vehicle.
The system we present is entirely vision-based, incorporating functionalities such as road and destination identification through navigation, ensuring optimal route adjustments to avoid congestion behind slower vehicles.
A remarkable addition is auto-steering, contributing to the overall excellence of this system. The inclusion of Smart Summon allows the vehicle to navigate intricate environments and parking spaces, adeptly maneuvering around obstacles to locate and reach you within a parking lot. Embrace the evolution of autonomous driving with these cutting-edge features.
Hardware Requirements
| RAM | 32 GB |
| Operating System | OS X – 10.13.3 |
| Hard Disk | 2 TB |
Language Used to Develop This system
| Machine Learning |
| Computer vision |
| Python |
| Keras |
| TensorFlow |
| Anaconda |
| OpenCV |
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