%0 Journal Article %1 journals/access/WenJ21 %A Wen, Li-Hua %A Jo, Kang-Hyun %D 2021 %J IEEE Access %K dblp %P 22080-22089 %T Fast and Accurate 3D Object Detection for Lidar-Camera-Based Autonomous Vehicles Using One Shared Voxel-Based Backbone. %U http://dblp.uni-trier.de/db/journals/access/access9.html#WenJ21 %V 9

@article{journals/access/WenJ21, added-at = {2021-03-02T00:00:00.000+0100}, author = {Wen, Li-Hua and Jo, Kang-Hyun}, biburl = {https://www.bibsonomy.org/bibtex/2f4ad763b49164576d5fcf85afae6684d/dblp}, ee = {https://doi.org/10.1109/ACCESS.2021.3055491}, interhash = {131e979b978e239545af2526cf1b87bb}, intrahash = {f4ad763b49164576d5fcf85afae6684d}, journal = {IEEE Access}, keywords = {dblp}, pages = {22080-22089}, timestamp = {2024-04-08T13:58:00.000+0200}, title = {Fast and Accurate 3D Object Detection for Lidar-Camera-Based Autonomous Vehicles Using One Shared Voxel-Based Backbone.}, url = {http://dblp.uni-trier.de/db/journals/access/access9.html#WenJ21}, volume = 9, year = 2021 }