Engineering Requirements that Address Real World Hazards from Using High-Definition Maps, GNSS, and Weather Sensors in Autonomous Vehicles

Evaluating real-world hazards associated with perception subsystems is critical in enhancing the performance of autonomous vehicles. The reliability of autonomous vehicles perception subsystems are paramount for safe and efficient operation. While current studies employ different metrics to evaluate perception subsystem failures in autonomous vehicles, there still exists a gap in the development and emphasis on engineering requirements. To address this gap, this study proposes the establishment of engineering requirements that specifically target real-world hazards and resilience factors important to AV operation, using High-Definition Maps, Global Navigation Satellite System, and weather sensors. The findings include the need for engineering requirements to establish clear criteria for a high-definition maps functionality in the presence of erroneous perception subsystem inputs which enhances the overall safety and reliability of the autonomous vehicles. In conjunction, global navigation satellite system consistently provides highly accurate positional information, thereby enabling precise navigation and trajectory. Additionally, a requirement was formulated that mandates the integration of weather sensors into the autonomous vehicles perception subsystem to collect precise weather condition data. These findings show the significance of implementing engineering requirements utilizing resilient engineering as a fundamental aspect of evaluating perception sensor performance in real-world scenarios. By incorporating these requirements into autonomous vehicles development we can improve the safety and reliability of these vehicles and accelerate the adoption of autonomous vehicle technology.