Award Data

Today, urban underground spaces are shared by multiple utility companies for laying power lines, gas lines, water supply/sewage pipes, fiber-optic cables, etc. The recordings of such buried utilities are often erroneous, inadequate, or outdated (if they ever exist) due to insufficient surveying methodologies and as-built recording practices. Ability to accurately locate and provide awareness of bu ...

This proposal consists of an innovative integrated solution for damage diagnosis of bridge structures using a non-contact image-based measurement methodology. High-resolution and regular camera systems will be used to capture the bridge movements and the traffic passing the bridge, respectively. Computer vision techniques will be used to extract the deflection time-histories of the bridge as well ...

Planned or unplanned traffic events, such as work zones, collision accidents, sporting games and stormy/snowy weather, arise along our roadway systems and affect normal traffic operations. These anomaly events cause various magnitude of traffic congestion and safety impact to road users. Thus, local or regional Traffic Management Centers (TMCs) have spent tremendous amount of resources responding ...

To keep drivers and passengers of vehicles safe, especially in rural areas with limited access to Information and Communications Technology (ICT), the DOT and the commercial automotive industry are keenly interested in machine vision based V2I and CAV technology to perform functions such as navigating assistance in areas where GPS or detailed maps are unavailable, caution and warning systems capab ...

The DOT seeks an integrated unit capable of identifying and tracking individual vehicles with high accuracy using multiple vehicle detection inputs, including video images, radar-based detection, and vehicle-to-everything radio signal inputs (DSRC, cellular-V2X), with a deep learning-based engine to fuse collected data. To address this DOT need, Physical Optics Corporation (POC) proposes to contin ...

Reading Barcode Signs to Support V21 Safety 3/20/2018 For this SBIR we will develop a machine vision system which uses onboard standard-resolution cameras in vehicles to identify and read barcode signs on the roadside. The proposed approach could provide a low-cost solution that make connected and automated vehicle (CAV) technology viable for rural areas with limited access to Information and ...

An Artificial Intelligence (AI) Traffic Data Analysis Tool for Advanced Freeway Traffic Management 3/20/2018 Planned or unplanned traffic events cause various magnitude of traffic congestion and safety impact to road users. It was estimated that 60% of congestions are non-recurrent and 15% of incidents are secondary to the primal accidents. Thus local or regional Traffic Management Centers (T ...

Deep Learning-based Vehicle Tracking with Multiple Sensors 3/19/2018 The DOT is seeking an integrated unit that is capable of identifying and tracking individual vehicles with high accuracy using multiple vehicle detection inputs, including video images, radar-based detection, and wireless signal inputs (including DSRC, cellular, Wi-Fi, and Bluetooth signals), with a deep learning-based engine ...

Digital Twins for Bridge Management through the Integrating of Computer Vision and Finite Element Models 3/19/2018 We propose the development of an innovative integrated solution for health monitoring of bridge structures using a non-contact image-based measurement methodology. High-resolution and regular camera systems will be used to capture the bridge movements and the traffic passing the b ...

Proposal title: Rapid Assessment of Air Void in System in Fresh Concrete Air void parameters such as specific surface (SS) and spacing factor (SF) are essential in evaluating Freeze-Thaw (F-T) durability in fresh concrete. We have demonstrated the feasibility and viability of using an acoustic method to measure in near real time air void distributions in fresh concrete, the proposed solution is b ...