314 21 1127 5 6383 document 1127 Radar_images.zip application/zip 895f2d3c8eb716bc1b7e6943bb0c2bdc MD5 483592843 2019-03-01 15:04:15 http://edata.bham.ac.uk/314/1/Radar_images.zip 314 1 2 application/zip archive public cc_by_4

Radar_images.zip

data contractual_ip 1128 5 6385 document 1128 Optical_images.zip application/zip 47fc17d731294e7cdfe5b641a2c53624 MD5 717859795 2019-03-01 15:06:23 http://edata.bham.ac.uk/314/2/Optical_images.zip 314 2 1 application/zip archive public cc_by_4

Optical_images.zip

full_archive contractual_ip archive 99 disk0/00/00/03/14 2019-03-22 16:50:06 2022-05-06 13:47:18 2019-03-22 16:50:06 data_collection show Daniel Liam l.y.daniel@bham.ac.uk Phippen Dominic DXP389@student.bham.ac.uk Hoare Edward E.G.HOARE@bham.ac.uk Stroescu Ana ARS656@bham.ac.uk Cherniakov Mikhail m.cherniakov@bham.ac.uk Gardner Peter p.gardner@bham.ac.uk Gashinova Marina M.S.Gashinova@bham.ac.uk 10col_ephy Radar, THz, optical imagery, fusion, multi aspect, RCS, training dataset, CNN. Access to the two files permitted for limited time (due 26/3/2021) following related request delivered to the research data mailbox and the data depositors/creators (AA 15/03/2021) The dataset is composed by low-THz (300 GHz) radar scans ant their associated optical images of six roadside targets: bike, traffic cone, stuffed dog, mannequin, traffic sign, trolley. The radar system was designed at The University of Birmingham and the measurements for obtaining the imagery dataset were performed in controlled laboratory environment. The system comprised of a ZED stereo camera and a bespoke LFMCW radar, with one transmitter and three receivers. A full radar scan and an optical image were taken for each azimuth position, by placing the objects on a turntable and rotate it 360 degrees in a stop-and-go mode. Data was taken from three receivers which were placed at different heights, hence there are three different images for one single position of each object. Scans were taken with targets placed at two ranges: 3.8 m and 6.3 m. The archives contain .mat files, which are structures of RGB images with three fields, one for each receiver. The name of the file indicates the target and the range. 2019-03-01 submitted University of Birmingham 10.25500/edata.bham.00000314 Dataset research-data@contacts.bham.ac.uk Department of Electronic, Electrical and Systems Engineering School of Engineering epsrc UK-EPSRC and Jaguar Land Rover grant EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. Grant is jointly funded by UK-EPSRC and Jaguar Land Rover, grant EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. EP/N012372/1 en yes yes yes TRUE Stroescu Ana ARS656@bham.ac.uk en