{"id":702715,"date":"2020-11-02T21:51:08","date_gmt":"2020-11-03T05:51:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=702715"},"modified":"2020-11-02T21:52:33","modified_gmt":"2020-11-03T05:52:33","slug":"smartphone-based-driver-license-testing","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/smartphone-based-driver-license-testing\/","title":{"rendered":"Smartphone-based driver license testing"},"content":{"rendered":"
Road safety is compromised today by the inadequacies in driver license testing. Testing is typically still performed manually, and efforts aimed at automating testing are stymied by the cost of outfitting a testing track with sensors. We demonstrate a low-cost, smartphone-based system for automating key aspects of the driver license test. We have a pilot deployment of our system at an official testing track in India. We will present an analysis of license test results obtained from this pilot, comparing the smartphone-based testing results with manual evaluation.<\/p>\n","protected":false},"excerpt":{"rendered":"
Road safety is compromised today by the inadequacies in driver license testing. Testing is typically still performed manually, and efforts aimed at automating testing are stymied by the cost of outfitting a testing track with sensors. We demonstrate a low-cost, smartphone-based system for automating key aspects of the driver license test. We have a pilot […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-702715","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2019-11-13","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"ACM","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"doi","viewUrl":"false","id":"false","title":"https:\/\/doi.org\/10.1145\/3356250.3361936","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Anurag Ghosh","user_id":0,"rest_url":false},{"type":"text","value":"Vijay Lingam","user_id":0,"rest_url":false},{"type":"text","value":"Ishit Mehta","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Akshay Nambi","user_id":38169,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Akshay Nambi"},{"type":"user_nicename","value":"Venkat Padmanabhan","user_id":33180,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Venkat Padmanabhan"},{"type":"user_nicename","value":"Satish Sangameswaran","user_id":33530,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Satish Sangameswaran"}],"msr_impact_theme":[],"msr_research_lab":[199562],"msr_event":[],"msr_group":[144725],"msr_project":[320399],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":320399,"post_title":"HAMS: Harnessing AutoMobiles for Safety","post_name":"hams","post_type":"msr-project","post_date":"2016-11-12 07:23:49","post_modified":"2022-07-18 06:11:34","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/hams\/","post_excerpt":"In the Harnessing AutoMobiles for Safety (HAMS) project, we use low-cost sensing devices to construct a virtual harness for vehicles. The goal is to monitor the state of the driver and how the vehicle is being driven in the context of a road environment that the vehicle is in. 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