AI Agents are at the core of self-driving cars, enabling real-time decision-making, precise vehicle control, and enhanced passenger safety in dynamic environments.
🔷 Machine Learning (ML)
➼ Supervised Learning: Training models with labeled driving data.
➼ Unsupervised Learning: Identifying hidden patterns in traffic scenarios.
➼ Reinforcement Learning: Learning optimal driving policies through environment interaction.
🔷 Natural Language Processing (NLP)
➼ NLP helps self-driving cars understand voice commands and communicate with passengers.
➼ Technologies like transformers (GPT, BERT) enable seamless in-car virtual assistant interactions.
🔷 Computer Vision
➼ Enables the car to "see" its surroundings through object detection, lane tracking, and pedestrian recognition.
➼ Powered by convolutional neural networks (CNNs) for accurate visual interpretation.
🔷 Deep Learning
➼ Facilitates complex tasks like traffic sign recognition, obstacle avoidance, and weather condition detection.
➼ Uses deep neural networks to improve navigation and safety measures.
🔷 Reinforcement Learning
➼ AI agents improve driving decisions through continuous feedback from road environments.
➼ Helps in learning complex maneuvers like merging, overtaking, and parking.
🔷 Robotics
➼ Integration of AI with vehicular robotics ensures precise motion control and stability.
➼ Facilitates smooth steering, acceleration, and braking for autonomous driving.
🔷 Speech Recognition
➼ Enables voice-controlled navigation and infotainment systems.
➼ Enhances accessibility with real-time speech-to-text transcription.
🔷 Knowledge Representation and Reasoning
➼ AI agents use structured data (like knowledge graphs) to make informed driving decisions.
➼ Helps in route optimization and hazard prediction.
🔷 Generative AI
➼ Generates predictive scenarios for better path planning and risk assessment.
➼ Uses technologies like GANs to simulate various driving conditions.
🔷 IoT Integration
➼ Enables real-time data exchange with traffic systems, other vehicles, and smart infrastructure.
➼ Improves situational awareness through connected environments.
