3D Structural Information Sensing System (3D-SISS) Based on Road-side Unit (RSU)

PI: Yinhai Wang (UW), yinhai@uw.edu, ORCID: 0000-0002-4180-5628

Co PIs: none

AMOUNT & MATCH: $40,000 from PacTrans; $40,000 Match

PERFORMANCE PERIOD: 3/16/2022 – 3/15/2023

STATUS: Active

CATEGORIES: Connected Technology, Road Side Unit, Sensing, Connected Infrastructure



FINAL PROJECT REPORT: will be available once completed

PROJECT DATA: will be available once completed

DESCRIPTION:  The project is to develop a monocular surveillance camera based 3D structural information sensing system (3D-SISS) for full-automatic traffic scene monitoring and analysis. Based on the system, traffic managers can collect all demanded traffic data in the scene including vehicle classification, vehicle localization, vehicle counting, speed measurement, congestion detection, and collision detection without any manual operations.

3D-SISS can help all transportation participants in the view including drivers, pedestrians and cyclists understand the surrounding objects and prevent the potential dangers to increase travel safety. 3D sensing technology plays more and more important roles in many applications like connected and autonomous vehicles (CAV), Mobile Mapping Systems (MMS), Advanced Driving Assistance Systems (ADAS), and Augmented Reality (AR). Comparing with traditional 2D traffic sensing technologies, 3D sensing methods can use the depth information to estimate more details about the surrounding environment like objects dimension and location. The projection from 2D to 3D real world enables computers to perceive environments like human eyes, which can provide more comprehensive, detailed, and accurate information about all the target objects in the scene.

Research Project Progress Report #1 10/10/2022
No Cost Extension Request 1/15/2023
Draft Report 1/15/2023
Final Project Report 3/15/2023