International Research Journal of Engineering Science, Technology and Innovation

Shubham Nautiyal

Department of Computer Science and Engineering, Chandigarh University, Mohali, India, India

Publications

• Research Article   
  Applications of Computer Vision in Autonomous Vehicles
  Author(s): Harman Kaur, Kumbam Sathwik Reddy*, Singari Jashwanth, Sankuri Samith, Shubham Nautiyal and Amit Kumar Sharma
  
  The rapid advancement of Autonomous Vehicles (AVs) is transforming transportation by integrating cutting-edge technologies, with Computer Vision (CV) playing a pivotal role. This research explores the critical applications of computer vision in enabling autonomous vehicles to navigate complex environments, detect objects, and make real-time decisions. Computer vision techniques, including object detection, lane tracking, pedestrian recognition, and traffic signal detection, provide AVs with a comprehensive understanding of their surroundings. We examine how deep learning models, particularly Convolutional Neural Networks (CNNs), enhance the accuracy of these tasks by processing vast amounts of visual data. Additionally, sensor fusion, integrating camera data with LiDAR and radar, is discussed to highlight its importance in creating robust perception systems for AVs. We also address th.. View More»
  

  Abstract PDF