Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Modelling, Simulation and Virtual validation of Adaptive Cruise Control (ACC) Algorithm based on Sensor Fusion

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342869,
        author={Ragavendran  R and Manoj Kumar  A and Bhavan  C},
        title={Modelling, Simulation and Virtual validation of Adaptive Cruise Control (ACC) Algorithm based on Sensor Fusion},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={adaptive cruise control advanced driver assistance systems acc adas virtual validation simulink sensor fusion},
        doi={10.4108/eai.17-11-2023.2342869}
    }
    
  • Ragavendran R
    Manoj Kumar A
    Bhavan C
    Year: 2024
    Modelling, Simulation and Virtual validation of Adaptive Cruise Control (ACC) Algorithm based on Sensor Fusion
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342869
Ragavendran R1,*, Manoj Kumar A1, Bhavan C1
  • 1: Department of Mechanical Engineering, Sri Sai Ram Engineering College
*Contact email: ragavendranr2002@gmail.com

Abstract

Adaptive Cruise Control (ACC) systems are rapidly becoming an integral part of modern vehicles, contributing to both enhanced driving comfort and increased road safety. Traditional approaches for ACC often rely on a single type of sensor, which could be limiting in dynamically evolving driving scenarios. To improve the system’s performance in such complex driving conditions, an enhanced approach using Sensor fusion technique has been discussed. Further, based on the detections the Most Important Object (MIO) lead car is obtained, with which a robust stateful control algorithm determines the appropriate set speed for the Ego vehicle to maintain safe distance with the preceding (lead car) in the same lane, based on the states of Ego and Lead vehicle. This set speed of the Ego Vehicle is maintained by a Vehicle Longitudinal controller. The modelled system has been validated in a closed-loop Virtual Environment with custom scenarios for intricate analysis of system performance.