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22 Open 19 Closed
22 Open 19 Closed
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Issues list

Request for Access to 21-58 radar_zyx_cube Dataset from kradar
#42 opened Sep 27, 2024 by ttxCSDN
How to Obtain Intrinsic and Extrinsic Parameters for the Stereo Cameras?
#41 opened Sep 26, 2024 by StZhang-B
How to Achieve Spatial and Temporal Alignment of Sparse 4D Millimeter-Wave Radar Point Cloud with Camera in Front View?
#40 opened Sep 26, 2024 by StZhang-B
How to Correctly Visualize and Process radar_zyx_cube Point Cloud Data from the K-Radar Dataset?
#39 opened Sep 26, 2024 by StZhang-B
Is it possible to only provide filtered Radar point cloud?
#38 opened Aug 12, 2024 by dongb5
There is no (main_auto_labels_generation.py) in /project/auto_label
#37 opened Aug 11, 2024 by LazySloth404
potential issue in d3_box_overlap_kernel
#36 opened Jul 16, 2024 by miaozhang97bosch
NAS seems down
#35 opened Jun 17, 2024 by AdrienHrdz
2
Measurement of the power value
#34 opened Jun 14, 2024 by miaozhang97bosch
how to get RPC file and other questions
#33 opened Jun 3, 2024 by ishuangfang
1
Distribute the dataset via BitTorrent
#32 opened Jun 1, 2024 by sadsimulation
21-58 Sparse-Radar-Tensor
#29 opened Mar 19, 2024 by LiuLiu-55
1
Evaluation code
#28 opened Mar 1, 2024 by nightrome
2
How to get 20_rt.zip from google drive?
#27 opened Feb 4, 2024 by Egozjuer
4
AttributeError: 'AnchorHeadSingle' object has no attribute 'get_nms_pred_boxes_for_single_sample'
#25 opened Nov 30, 2023 by florianeboumene
2
Request for Configuration File of RTN Network from K-Radar Paper
#24 opened Nov 16, 2023 by TomoyaFukui
Converting RADAR data arr_zyx into PointCloud
#21 opened Sep 20, 2023 by vickyskarthik
build dataset
#18 opened Jul 3, 2023 by PengLiangwf
Doppler Value on radar tensor
#13 opened Jun 4, 2023 by shaunkuanuw
can't to test the calibration software for labeling maybe the problem of dataset
#10 opened Mar 17, 2023 by 87Niu
Empty folder for 21-37 and 38-58 on google drive
#9 opened Mar 16, 2023 by jb892
2
Dataset is too large
#2 opened Feb 3, 2023 by yangxh11
3
ProTip! Adding no:label will show everything without a label.