Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision

11/10/2018
by   Franklin Abodo, et al.
0

Naturalistic driving studies seek to perform the observations of human driver behavior in the variety of environmental conditions necessary to analyze, understand and predict that behavior using statistical and physical models. The second Strategic Highway Research Program (SHRP 2) funds a number of transportation safety-related projects including its primary effort, the Naturalistic Driving Study (NDS), and an effort supplementary to the NDS, the Roadway Information Database (RID). This work seeks to expand the range of answerable research questions that researchers might pose to the NDS and RID databases. Specifically, we present the SHRP 2 NDS Video Analytics (SNVA) software application, which extracts information from NDS-instrumented vehicles' forward-facing camera footage and efficiently integrates that information into the RID, tying the video content to geolocations and other trip attributes. Of particular interest to researchers and other stakeholders is the integration of work zone, traffic signal state and weather information. The version of SNVA introduced in this paper focuses on work zone detection, the highest priority. The ability to automate the discovery and cataloging of this information, and to do so quickly, is especially important given the two petabyte (2PB) size of the NDS video data set.

READ FULL TEXT

page 1

page 2

page 3

research
11/30/2020

Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets

Naturalistic driving data (NDD) is an important source of information to...
research
03/27/2023

Advances and Applications of Computer Vision Techniques in Vehicle Trajectory Generation and Surrogate Traffic Safety Indicators

The application of Computer Vision (CV) techniques massively stimulates ...
research
04/17/2021

IUPUI Driving Videos and Images in All Weather and Illumination Conditions

This document describes an image and video dataset of driving views capt...
research
08/09/2021

ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections

The use of naturalistic driving studies (NDSs) for driver behavior resea...
research
07/19/2023

A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data

Traffic simulation software is used by transportation researchers and en...
research
12/08/2022

Elixir: A system to enhance data quality for multiple analytics on a video stream

IoT sensors, especially video cameras, are ubiquitously deployed around ...
research
04/28/2023

Towards Automated Circuit Discovery for Mechanistic Interpretability

Recent work in mechanistic interpretability has reverse-engineered nontr...

Please sign up or login with your details

Forgot password? Click here to reset