Enes Karaaslan, Ph.D.

As an embedded system device, SmartHUD was designed to perform V2X (Vehicle-to-Everything) communication, with a primary focus on interfacing with HAAS Alert's Safety Cloud and processing real-time traffic signal data.

Uses site monitoring data from sensing systems on an instrumented bridge to transform it into a mechanism to determine actual traffic loading. It consists of sensors for measuring deformations induced by vehicles, axle detectors for collecting information on vehicle velocity and axle spacing, a camera system for automatic number plate recognition, and a data acquisition system to collect time-synchronized data from the multiple systems.

Developed an affordable, after-market, reliable, and safe autonomous Warning Triangle System (aWTS) to ensure the safety of the automated and semi-automated commercial motor vehicles (CMVs) during an emergency stop without requiring human assistance. aWTS consists of three low-cost autonomous triangle reflector devices which are planned to optimally fit in a charging dock/enclosure where they will be safely stored during stand-by mode. When activated by the emergency signal transmitted from the CMV, the autonomous triangles are designed to move successively to their pre-determined destinations on the highway.

Develop a low-cost, practical and robust technological solution to enforce bridge load postings using Bridge Weigh-In-Motion (B-WIM) technology. A B-WIM is a system that uses site monitoring data from sensing systems on an instrumented bridge to transform it into a mechanism to determine actual traffic loading. It consists of sensors for measuring deformations induced by vehicles, axle detectors for collecting information on vehicle velocity and axle spacing, a camera system for automatic number plate recognition, and a data acquisition system to collect time-synchronized data from the multiple systems.

This technology supports connected automated vehicles with a secure, energy efficient and scalable communication platform that uses low-cost enablers on the existing traffic infrastructure. VECTOR will reduce the perception needs of automated vehicles, hence decrease their energy use and the costs.

This project developed a low-cost and technologically robust system that consists of uniquely-generated V2X message signs, and a smart on-board device equipped with standard-resolution camera, geolocation sensor and wireless transmitter. By recognizing a V2X safety alert from a smart traffic sign using machine vision techniques, the device replicates some of the V2X safety application messages that are typically sent from expensive RSUs and transmits the message to a vehicle's on-board unit.

Developed a method for machine readable coding technology for static signs and a smart on-board device equipped with standard resolution cameras and sensors. Using the proposed technology, it is going to be possible to replicate partially the roadside equipment (RSE) messages in areas where this infrastructure is not available.