STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Aerospace Engineering & Technology Original Research

Self-Navigating Rover for Real Time Mapping and Disaster Management

  1. Krishankant Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  2. Abhishek Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  3. Arihant Srivastava Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  4. Sandeep Reddy Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  5. G Manikanta Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  6. Sujit Kumar Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  7. Anubhav Kumar Department Electrical and Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore
  8. N Kirn Kumar Department of Electrical and Electronics Engineering, M S Ramaiah Institute of Technology, Bengaluru
  9. K Durga Rao Department of Electrical & Electronics Engineering, Avanthi Institute of Engineering and Technology, Visakhapatnam

Abstract

This paper presents the development of an autonomous rover designed for mapping and object detection in challenging terrains. The rover integrates a 6-wheel rocker-bogie mechanism for enhanced mobility and stability, making it suitable for rugged and uneven environments. Key components include an Arduino Uno for control operations, a Camera module for real-time visual data capture and object detection, and a LiDAR for precise distance measurement and spatial mapping. The system employs a modular design, with the Arduino Uno managing motor controls and sensor inputs, while the Camera module processes visual data for object identification. LiDAR enables continuous two-dimensional mapping, providing accurate environmental awareness. This paper highlights the hardware and software implementation, including sensor calibration, data processing, and obstacle avoidance strategies. The rover can be monitored and controlled in real time, with manual intervention possible if needed. An onboard camera helps assess critical situations and decide if manual control is required. This system enhances efficiency and allows quick adjustments in challenging environments. Real-time mapping and disaster management are two crucial domains that greatly profit from technical advancement. In these fields, self-navigating rovers with sophisticated sensors, artificial intelligence, and real-time data processing skills have become game-changing instruments. The idea, architecture, and uses of self-navigating rovers specifically suited for disaster relief and real-time mapping are examined in this article. These rovers can efficiently traverse difficult terrains, produce precise maps, and deliver timely data for decision-making in disaster-affected areas by fusing autonomous navigation with technologies like LiDAR, GPS, and machine learning. Such technologies could reduce hazards, maximize resources, and save lives when included into disaster response plans.

Keywords

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