Sensory Augmentation for Increased Awareness of Driving Environment [2013]

Dolan, John; Rybski, Paul; Technologies for Safe and Efficient Transportation. University Transportation Center; Carnegie-Mellon University. Robotics Institute

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Sensory Augmentation for Increased Awareness of Driving Environment [2013]

2013-12-14
By Dolan, John ; Rybski, Paul

[PDF-2.15 MB]

English

Details Supporting Files You May Also Like

Details:

Creators:

Dolan, John ; Rybski, Paul

Dolan, John ; Rybski, Paul Less -
Corporate Creators:

Technologies for Safe and Efficient Transportation. University Transportation Center ; Carnegie-Mellon University. Robotics Institute

Technologies for Safe and Efficient Transportation. University Transportation Center ; Carnegie-Mellon University. Robotics Institute Less -
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

[+]

Alertness Automated Vehicle Control For Ground Vehicles Data And Information Technology Global Positioning System Highways Intelligent Vehicles Lateral Placement Location Urban Areas Vehicles And Equipment
Resource Type:

Tech Report
Geographical Coverage:

Pittsburgh (Pennsylvania)
Corporate Publisher:

Technologies for Safe and Efficient Transportation. University Transportation Center
Abstract:

The goal of this project was to develop a lateral localization framework for autonomous driving in urban areas. Vehicle location is significant information for the controller, planner and behaviors systems. Lateral location is extremely important for safe and reliable self-driving, due to dense traffic, small lane width and varying road geometry. Though RTK global positioning system (GPS) has centimeter-level accuracy output in open areas, it can have half-meter lateral error in urban areas, which is extremely dangerous for urban driving. It is therefore desirable to precisely identify the lateral position by combining with other sensors.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:528db63457fcca97573ddf1d3f829b0c9db9f03910379cb838b24b0ed3fe0fec
Download URL:

https://rosap.ntl.bts.gov/view/dot/37222/dot_37222_DS1.pdf
File Type:

Dolon_TSETFinalReport.pdf

pdf

More +