<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T09:20:55Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/74935" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/74935</identifier><datestamp>2022-01-13T07:54:36Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Domitilla Del Vecchio.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Palas, Cassidy Martin</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-11-19T19:19:50Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-11-19T19:19:50Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/74935</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">815957866</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 71-73).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, I consider the problem of collision avoidance between two vehicles approaching an intersection. These vehicles are human driven and one or both are equipped with an on-board driver assist system that provides warnings and can apply automatic braking/throttle when needed. This type of system will establish an intermediary step in the progression towards fully autonomous vehicles. It will allow human drivers to retain control of their vehicles while providing the guidance for drivers to apply the necessary inputs to prevent collisions before autonomous control becomes necessary. A formal approach to the design of the driver assist system is taken, employing a hybrid automaton model. This model has hidden modes, which arise from the driver making decisions about whether or not to follow the provided warnings. As a consequence, the driver assist system design is formulated as a safety control problem for a hybrid automaton with hidden modes. The solution approach is based on a mode estimator that keeps track of the possible driver decisions and, on their basis, provides warning and control inputs that ensure safety. The resulting algorithm is computationally efficient as it leverages the order preserving properties of the vehicle dynamics.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Cassidy Martin Palas.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">73 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Provably safe design of driver-assist systems through hybrid automata with hidden modes</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="mimetype">application/pdf</dim:field>
   <dim:field mdschema="dspace" element="entity" qualifier="type">Publication</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
   <dim:field mdschema="cerif" element="openaire" authority="" confidence="-1">&lt;Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="68ce598d-1442-4be5-9c1f-6d9775c134fa">
	&lt;Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843&lt;/Type>
	&lt;Language>eng&lt;/Language>
   	&lt;Title>Provably safe design of driver-assist systems through hybrid automata with hidden modes&lt;/Title>
   	&lt;PublishedIn>
    	&lt;Publication>
      	&lt;/Publication>
   	&lt;/PublishedIn>
   	&lt;PublicationDate>2012&lt;/PublicationDate>
   	&lt;Authors>
      	&lt;Author>
        	&lt;DisplayName>Palas, Cassidy Martin&lt;/DisplayName>
         	&lt;Affiliation>
         		&lt;OrgUnit>
         		&lt;/OrgUnit>
         	&lt;/Affiliation>
      	&lt;/Author>
	&lt;/Authors>
   	&lt;Editors>
	&lt;/Editors>
    &lt;Publishers>
        &lt;Publisher>
            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
            &lt;OrgUnit />
        &lt;/Publisher>
    &lt;/Publishers>
    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>In this thesis, I consider the problem of collision avoidance between two vehicles approaching an intersection. These vehicles are human driven and one or both are equipped with an on-board driver assist system that provides warnings and can apply automatic braking/throttle when needed. This type of system will establish an intermediary step in the progression towards fully autonomous vehicles. It will allow human drivers to retain control of their vehicles while providing the guidance for drivers to apply the necessary inputs to prevent collisions before autonomous control becomes necessary. A formal approach to the design of the driver assist system is taken, employing a hybrid automaton model. This model has hidden modes, which arise from the driver making decisions about whether or not to follow the provided warnings. As a consequence, the driver assist system design is formulated as a safety control problem for a hybrid automaton with hidden modes. The solution approach is based on a mode estimator that keeps track of the possible driver decisions and, on their basis, provides warning and control inputs that ensure safety. The resulting algorithm is computationally efficient as it leverages the order preserving properties of the vehicle dynamics.&lt;/Abstract>
	&lt;Access xmlns="http://purl.org/coar/access_right" 
    >
    &lt;/Access>
&lt;/Publication>
</dim:field>
</dim:dim>
</metadata></record></GetRecord></OAI-PMH>