Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems
In order to develop a driver assistance system for pedestrian protection, pedestrians in the environment of a truck are detected by radars and a camera and are tracked across distributed fields of view using a Joint Integrated Probabilistic Data Association filter. A robust approach for prediction o...
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| Materialtyp: | Online |
| Språk: | engelska |
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KIT Scientific Publishing
2021
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| Länkar: | 34599 |
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| _version_ | 1869527190921543680 |
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| author | Otto, Carola |
| author_browse | Otto, Carola |
| author_facet | Otto, Carola |
| author_sort | Otto, Carola |
| collection | Directory of Open Access Books |
| description | In order to develop a driver assistance system for pedestrian protection, pedestrians in the environment of a truck are detected by radars and a camera and are tracked across distributed fields of view using a Joint Integrated Probabilistic Data Association filter. A robust approach for prediction of the system vehicles trajectory is presented. It serves the computation of a probabilistic collision risk based on reachable sets where different sources of uncertainty are taken into account. |
| format | Online |
| id | doab-20.500.12854ir-48227 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-482272024-04-09T23:15:37Z Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems Otto, Carola T1-995 Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues In order to develop a driver assistance system for pedestrian protection, pedestrians in the environment of a truck are detected by radars and a camera and are tracked across distributed fields of view using a Joint Integrated Probabilistic Data Association filter. A robust approach for prediction of the system vehicles trajectory is presented. It serves the computation of a probabilistic collision risk based on reachable sets where different sources of uncertainty are taken into account. 2021-02-11T14:14:07Z 2021-02-11T14:14:07Z 2019-07-30 20:01:58 2013 book 34599 21906629 9783731500735 https://directory.doabooks.org/handle/20.500.12854/48227 eng Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783731500735 KIT Scientific Publishing 10.5445/KSP/1000035932 10.5445/KSP/1000035932 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731500735 VIII, 238 p. open access |
| spellingShingle | T1-995 Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Otto, Carola Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems |
| title | Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems |
| title_full | Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems |
| title_fullStr | Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems |
| title_full_unstemmed | Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems |
| title_short | Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems |
| title_sort | fusion of data from heterogeneous sensors with distributed fields of view and situation evaluation for advanced driver assistance systems |
| topic | T1-995 Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | T1-995 Trajectory Prediction Radar and Camera Pedestrian Sensor Data Fusion Risk Assessement thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | 34599 |
| work_keys_str_mv | AT ottocarola fusionofdatafromheterogeneoussensorswithdistributedfieldsofviewandsituationevaluationforadvanceddriverassistancesystems |