An Architecture for Fuzzy Sensor Validation and Fusion for Vehicle Following in Automated Highways

Goebel, Kai; Agogino, Alice; University of California, Berkeley. Dept. of Mechanical Engineering

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

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

An Architecture for Fuzzy Sensor Validation and Fusion for Vehicle Following in Automated Highways

1996-06-04
By Goebel, Kai ; Agogino, Alice

[PDF-127.86 KB]

English

Details You May Also Like

Details:

Creators:

Goebel, Kai ; Agogino, Alice

Goebel, Kai ; Agogino, Alice Less -
Corporate Creators:

University of California, Berkeley. Dept. of Mechanical Engineering
Subject/TRT Terms:

[+]

Automated Highways Automatic Headway Control Data Fusion Fuzzy Logic Fuzzy Systems
Resource Type:

Research Paper
Geographical Coverage:

United States
Corporate Publisher:

29th International Symposium on Automotive Technology and Automation (ISATA) in Florence, Italy, June 4, 1996
Abstract:

This paper describes a fuzzy logic based architecture for real time sensor validation and fusion for vehicle following tasks for automated highways. Automated highways and more generally "smart vehicles" rely heavily on sensor data for a variety of control purposes. High sensor data fidelity is of prime concern because human life is at stake. However, sensor data are always uncertain to some extent due to noise and possible sensor failures. We address these issues by proposing to validate and fuse multiple sensor readings using a fuzzy time series prediction model, fuzzy validation gates, and a weighted average fusion scheme. The integration of these methods allows the assignment of degrees of confidence to each sensor reading. This is achieved through the use of validation gates which are areas in which the reading is expected to lie. They take into account the specific properties of each sensor as well as the physical limitations of the system considered. The placement of the validation gates in turn is dependent of the fuzzy time series prediction which uses fused past values and sensor readings as input. Examples from experiments performed for PATH (Partners for Automated Transportation Highways) California show that this method works successfully under a variety of operating conditions.
Content Notes:

Paper from International Symposium on Automotive Technology & Automation (29th : 1996 : Florence, Italy). Proceedings of the Conference on Supercomputer Applications in the Transportation Industries
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:d209dd94067975ecffca1b7f083fba25ca4bd40d3cf22b8f34b229b2b64b1f0f
Download URL:

https://rosap.ntl.bts.gov/view/dot/57143/dot_57143_DS1.pdf
File Type:

No Additional Files

More +

An Architecture for Fuzzy Sensor Validation and Fusion for Vehicle Following in Automated Highways

Details:

Supporting Files

You May Also Like