{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T16:19:32Z","timestamp":1776183572404,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/itsc.2018.8569814","type":"proceedings-article","created":{"date-parts":[[2018,12,13]],"date-time":"2018-12-13T01:21:46Z","timestamp":1544664106000},"page":"3266-3273","source":"Crossref","is-referenced-by-count":211,"title":["Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection"],"prefix":"10.1109","author":[{"given":"Di","family":"Feng","sequence":"first","affiliation":[]},{"given":"Lars","family":"Rosenbaum","sequence":"additional","affiliation":[]},{"given":"Klaus","family":"Dietmayer","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"Relation networks for object detection","author":"hu","year":"2018","journal-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref32","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref31","first-page":"3584","article-title":"Concrete dropout","author":"gal","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref30","first-page":"91","article-title":"Faster r-cnn: Towards realtime object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref12","author":"qi","year":"2017","journal-title":"Frustum pointnets for 3d object detection from rgb-d data"},{"key":"ref13","author":"xu","year":"2017","journal-title":"Pointfusion Deep sensor fusion for 3d bounding box estimation"},{"key":"ref14","author":"ku","year":"2017","journal-title":"Joint 3d proposal generation and object detection from view aggregation"},{"key":"ref15","author":"wang","year":"2017","journal-title":"Fusing bird view lidar point cloud and front view camera image for deep object detection"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461232"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.23919\/ICIF.2018.8455757"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref28","author":"miller","year":"2017","journal-title":"Dropout sampling for robust object detection in open-set conditions"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8205955"},{"key":"ref27","author":"kendall","year":"2015","journal-title":"Bayesian segnet Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.597"},{"key":"ref6","author":"zhou","year":"2017","journal-title":"VoxelNet End-to-End Learning for Point Cloud Based 3D Object Detection"},{"key":"ref29","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2016.XII.042"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995848"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989161"},{"key":"ref2","first-page":"424","article-title":"3d object proposals for accurate object class detection","author":"chen","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317880"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.3.448"},{"key":"ref22","first-page":"2348","article-title":"Practical variational inference for neural networks","author":"graves","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/168304.168306"},{"key":"ref24","author":"gal","year":"2016","journal-title":"Uncertainty in deep learning"},{"key":"ref23","first-page":"4026","article-title":"Deep exploration via bootstrapped dqn","author":"osband","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref26","first-page":"5580","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"kendall","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref25","first-page":"1183","article-title":"Deep bayesian active learning with image data","author":"gal","year":"2017","journal-title":"International Conference on Machine Learning"}],"event":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","location":"Maui, HI","start":{"date-parts":[[2018,11,4]]},"end":{"date-parts":[[2018,11,7]]}},"container-title":["2018 21st International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8543039\/8569013\/08569814.pdf?arnumber=8569814","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:43:18Z","timestamp":1598226198000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8569814\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/itsc.2018.8569814","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}