Intelligent Crash Detection and Emergency Alert Mechanism for Autonomous Vehicles Using CrashGuard X Technology
S M Kowsik Godavarthi1, Komal Sai Raj Atmakuri2, Venkata Praveen Akula3, Tanmayi Movva4, Sai Revanth Singavarapu5, Shrinath Munagapati6, Srikanth Annamareddy7
1,4,5,6,7 Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
2Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
3 Department of ECS, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
Emails: godavarthikowsik@gmail.com komalsairaj012@gmail.com akulapraveen535@gmail.com tanmayimovva30@gmail.com revanth.2074@gmail.com shrinath.munagapati@gmail.com annamareddy.srikanth123@kluniversity.in
Abstract - The safety features of self-driving cars call for ever greater innovation with regard to crash awareness and notification technologies. In this paper, we develop an Intelligent Crash Detection and Emergency Alert for self-driving cars that is based on CrashGuard X Technology with hardware integration of MPU6050, ESP32, and Arduino IDE for accident detection in real time. The system employs an acceleration and rotation monitoring device, the MPU6050, to track sudden variations of impact. These impacts are measured and processed by a microcontroller, an ESP32, which is programmed with Embedded C to make decisions. As soon as the device processes a crash situation, the ESP32 sends an SOS alarm over a Wi-Fi network, providing an additional advantage of being able to communicate with other devices and informing them of the emergency situation. The overall objective remains which is to make the device lightweight, to consume low energy, and to be useful for future applications of self-driving cars. The tests were conducted which showed highly accurate crash detection with a limited number of false alerts improving the overall response time. The proposed solution is an increase in safety while responding to accidents, the capability of the vehicle to operate autonomously in a reliable manner, an important step forward in intelligent transportation systems and advanced drivers’ assistance systems.
Key Words: Crash Detection, Emergency Alert, Autonomous Vehicles, ESP32, MPU6050
