Design an Autonomous Vehicle Perception System

Functional Requirements:

• Object Detection: Ability to identify and classify objects such as vehicles, pedestrians, cyclists, traffic signs, and road markings.
• Lane Detection: Accurate detection of lane boundaries and lane changes.
• Traffic Signal Recognition: Recognize and interpret traffic lights and signals.
• Obstacle Avoidance: Detect and avoid static and dynamic obstacles.
• Environmental Perception: Assess weather conditions and adjust perception accordingly.
• Localization: Determine the vehicle's position relative to its surroundings.
• Path Planning: Generate a safe and efficient path based on real-time data.
• Sensor Fusion: Integrate data from multiple sensors (e.g., cameras, LiDAR, radar) for comprehensive perception.
• Real-time Processing: Ensure low-latency processing for immediate decision-making.

Non-Functional Requirements:

• Reliability: High accuracy and reliability in diverse environments and conditions.
• Scalability: Ability to handle increased data volume and complexity as the system evolves.
• Performance: Maintain optimal performance with minimal computational resources.
• Safety: Ensure the system operates safely under all conditions.
• Robustness: Handle sensor failures and unexpected scenarios gracefully.
• Compliance: Adhere to industry standards and regulations for autonomous vehicles.
• Maintainability: Easy to update and maintain the system with new data and algorithms.
• Security: Protect against unauthorized access and data breaches.

Constraints:

• Hardware Limitations: Operate within the constraints of available hardware resources.
• Environmental Variability: Adapt to varying weather, lighting, and road conditions.
• Regulatory Compliance: Meet legal requirements for autonomous vehicle operation.
• Cost Efficiency: Balance performance with cost-effective solutions.
• Data Privacy: Ensure user data is protected and used responsibly.