Technology to Ensure Equitable Access to Automated Vehicles for Rural Areas

Ninan, Stephen; Rathinam, Sivakumar; Safety through Disruption (Safe-D) University Transportation Center (UTC); Texas A&M Transportation Institute

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Technology to Ensure Equitable Access to Automated Vehicles for Rural Areas

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Creators:

Ninan, Stephen ; Rathinam, Sivakumar

Ninan, Stephen ; Rathinam, Sivakumar Less -
Corporate Creators:

Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Texas A&M Transportation Institute

Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Texas A&M Transportation Institute Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Autonomous Vehicles Data Files Detectors By Object Of Detection Filters Object Detection Rural Areas Rural Roads Rural Transportation Semantic Segmentation
Publication/ Report Number:

06-004
Resource Type:

Tech Report
Geographical Coverage:

Texas ; United States

Texas ; United States Less -
Edition:

Final Report, 9/2021 - 8/2023
Corporate Publisher:

Safety through Disruption (Safe-D) University Transportation Center (UTC)
Abstract:

A significant majority of state-of-the-art autonomous sensing and navigation technologies rely on good lane markings or detailed 3D maps of the environment, making them more suited for urban communities. Conversely, many rural roads in the U.S. do not have lane markings and have irregular boundaries. These challenges are common to many small and rural communities (SRCs), which are sparsely connected and cover huge areas. The objective of this project was to develop an efficient sensing and navigation system for SRCs that uses crowdsourced topological maps, such as OpenStreetMap, and provides high-level road network information in concert with onboard sensing systems that include lidar and cameras to localize and navigate an autonomous vehicle. The system was tested and validated on rural roads in an SRC around Bryan, TX.
Format:

PDF
Funding:

69A3551747115/ Project 06-004
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:ac110283404da058c0c7dde5cf49e0610a5dd91a0d2a926815fc1adb00d34f69
Download URL:

https://rosap.ntl.bts.gov/view/dot/70413/dot_70413_DS1.pdf
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No Additional Files

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Technology to Ensure Equitable Access to Automated Vehicles for Rural Areas

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