Safe-D: Safety through Disruption

A Sensor Fusion and Localization System for Improving Vehicle Safety In Challenging Weather Conditions



The safety of autonomous\connected vehicles primarily relies on their ability to accurately sense the environment. The sensing problem is significantly challenging in weather conditions which include sudden change in lighting, smoke, fog, snow, and rain. Therefore, accurate sensing in adverse weather conditions is a critical and important safety problem that needs to be solved for any successful deployment of autonomous vehicles. There is currently no single sensor currently available in the market that can handle all the possible performance aspects and adverse weather conditions. The objective of this project is to use a combination of Radars and FIR cameras in addition to a LIDAR based system to map the environment and localize the vehicle with respect to the lanes on the road. This project will develop a prototype of an all weather sensing and localization system which will be useful for any autonomous or connected vehicle. The performance of the developed system will be corroborated with several data sets collected at Rellis. Demonstrations of the developed technology will also be done at the yearly Automated Vehicle Symposium, and SAE conferences.

Project Highlights

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Final Report

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EWD & T2 Products

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Research Investigators (PI*)

Sivakumar Rathinam (TAMU)*

Project Information

Start Date: 2019-05-01
End Date: 2021-10-31
Status: Active
Grant Number: 69A3551747115
Total Funding: $190,409
Source Organization: Safe-D National UTC
Project Number: 04-117

Safe-D Theme Areas

Automated Vehicles
Connected Vehicles
Transportation as a Service

Safe-D Application Areas

Vehicle Technology
Planning for Safety
Operations and Design

More Information

UTC Project Information Form

Sponsor Organization

Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States

Performing Organization

Texas A&M University
Texas A&M Transportation Institute
3135 TAMU
College Station, Texas 77843-3135