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Author(s):

Mr Prabakaran J | Arut Selvan S | Caroll Sherrwin C | Hari Vignesh I | Arithas M
Keywords:
Abstract:
Driving In Hill Stations And Mountainous Regions Is Highly Challenging Due To Frequent Fog, Mist, And Sharp Curves, Which Significantly Reduce Road Visibility And Increase The Risk Of Accidents. To Address This Issue, This Project Proposes A Smart Driver Assistance System That Enhances Vehicle Safety Under Low Visibility Conditions. The System Integrates Distance-based Vehicle Detection Using Ultrasonic Sensors With Real-time Image Dehazing Techniques For Improved Road Monitoring. Ultrasonic Sensors Are Mounted At The Front And Rear Of The Vehicle To Continuously Measure The Distance Of Nearby Vehicles. The Measured Distances Are Displayed In Meters On A Visual Display Unit, And An Audible Warning Is Generated Using A Buzzer When Any Vehicle Approaches Within A Critical Range Of 10–12 Meters. This Provides Timely Alerts To The Driver And Helps Prevent Collisions. In Parallel, A Dash Camera Captures Real-time Video Of The Road Ahead, Which Is Processed Using An Image Dehazing Algorithm To Reduce The Effects Of Fog And Mist, Thereby Improving Visibility. The Proposed System Offers A Cost-effective And Reliable Solution For Enhancing Driving Safety In Fog-prone Hill Areas. By Combining Sensor-based Distance Monitoring With Vision-based Dehazing, The System Assists Drivers In Making Safer Driving Decisions Under Adverse Weather Conditions.