Title: An internet of things-edge paradigm-enabled vision-based driving assistance for blind corners: a V2I application

Authors: Goutam Kumar Sahoo; Rashmiranjan Nayak; K.L. Sanjeev Tudu; Umesh Chandra Pati; Santos Kumar Das; Poonam Singh

Addresses: Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India ' Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India

Abstract: The proposed work detects moving vehicles using unsupervised methods and estimates their speed as well as distance using surveillance cameras mounted in road infrastructure for collision avoidance at sharp corners. The goal is to develop IoT-based computer vision-assisted vehicle-to-infrastructure (V2I) communication for autonomous vehicles. Information like the availability of vehicles in the blind zone, speed, and distance of the upcoming vehicle can be shared with the drivers beforehand for safety purposes. Computer vision-based lightweight algorithms using simple morphological operations have been proposed to detect the incoming vehicle and estimate the associated speed and distance. Further, an IoT-edge paradigm-enabled computing platform is developed to facilitate efficient computation for latency-sensitive real-time applications. An auto-generated audio-visual alarm guides the driver by a fixed roadside unit near the turning point when the approaching vehicle crosses the predefined threshold zone decided for a particular turning point. Hence, it enables the vehicle to prevent a collision.

Keywords: blind corners; camera; edge computing; internet of things; IoT; vehicle detection; warning generation; vehicle-to-infrastructure; V2I; advanced driver assistance systems; ADAS.

DOI: 10.1504/IJCVR.2026.151538

International Journal of Computational Vision and Robotics, 2026 Vol.16 No.2, pp.141 - 163

Received: 11 Dec 2022
Accepted: 15 Nov 2023
Published online: 05 Feb 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article