{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T08:07:48Z","timestamp":1768982868738,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,22]]},"DOI":"10.1109\/mmar58394.2023.10242398","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T17:56:58Z","timestamp":1694455018000},"page":"117-122","source":"Crossref","is-referenced-by-count":5,"title":["Detection-segmentation convolutional neural network for autonomous vehicle perception"],"prefix":"10.1109","author":[{"given":"Maciej","family":"Baczmanski","sequence":"first","affiliation":[{"name":"AGH University of Krakow,Embedded Vision Systems Group,Department of Automatic Control and Robotics,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Synoczek","sequence":"additional","affiliation":[{"name":"AGH University of Krakow,Embedded Vision Systems Group,Department of Automatic Control and Robotics,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mateusz","family":"Wasala","sequence":"additional","affiliation":[{"name":"AGH University of Krakow,Embedded Vision Systems Group,Department of Automatic Control and Robotics,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Kryjak","sequence":"additional","affiliation":[{"name":"AGH University of Krakow,Embedded Vision Systems Group,Department of Automatic Control and Robotics,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"xie","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref12","article-title":"End-to-end object detection with transformers","author":"carion","year":"2020","journal-title":"Computer Vision–ECCV 2020 16th European Conference"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/app12178856"},{"key":"ref11","article-title":"Icnet for real-time semantic segmentation on highresolution images","author":"zhao","year":"2018","journal-title":"ECCV"},{"key":"ref10","article-title":"Deep dual-resolution networks for real-time and accurate semantic segmentation of road scenes","author":"hong","year":"2021"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015"},{"key":"ref1","article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"wang","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2943777"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206883"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref23","article-title":"Efficientnetv2: Smaller models and faster training","author":"tan","year":"2021","journal-title":"International Conference on Machine Learning"},{"key":"ref26","article-title":"Labelme: Image Polygonal Annotation with Python","author":"kentaro","year":"0"},{"key":"ref25","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020"},{"key":"ref20","article-title":"The PASCAL Visual Object Classes Challenge 2012 (VOC2012)","author":"everingham","year":"0"},{"key":"ref22","article-title":"The International Conference on Field-Programmable Technology (FPT’22) FPGA Design Competition","year":"0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00271"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01515-2"},{"key":"ref4","article-title":"Vitis AI Library User Guide (UG1354)","year":"0"},{"key":"ref3","article-title":"Transformer-based visual segmentation: A survey","author":"li","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-022-1339-y"},{"key":"ref5","article-title":"Hybridnets: End-to-end perception network","author":"vu","year":"2022"}],"event":{"name":"2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)","location":"Mi\u0119dzyzdroje, Poland","start":{"date-parts":[[2023,8,22]]},"end":{"date-parts":[[2023,8,25]]}},"container-title":["2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10242389\/10242390\/10242398.pdf?arnumber=10242398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:38:35Z","timestamp":1696268315000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10242398\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,22]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/mmar58394.2023.10242398","relation":{},"subject":[],"published":{"date-parts":[[2023,8,22]]}}}