Fetching the paper…
Reading the bibliography…
Accurately perceiving instances and predicting their future motion are key tasks for autonomous vehicles, enabling them to navigate safely in complex urban traffic.
The hungarian method for the assignment problem
Harold W. Kuhn · 1955
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit S. Ogale · 2018
Earlier work this paper cites.
Smooth loss functions for deep top-k classification
Leonard Berrada, Andrew Zisserman, and M. Pawan Kumar · 2018
Earlier work this paper cites.
Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
Earlier work this paper cites.
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Alex Kendall, Yarin Gal, and Roberto Cipolla · 2018
Earlier work this paper cites.
Pointpillars: Fast encoders for object detection from point clouds
Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2018
Earlier work this paper cites.
Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
Earlier work this paper cites.
Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
Earlier work this paper cites.
Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2019
Earlier work this paper cites.
Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Joey Hong, Benjamin Sapp, and James Philbin · 2019
Earlier work this paper cites.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
Earlier work this paper cites.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Earlier work this paper cites.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Cited alongside, same era.
Spagnn: Spatially-aware graph neural networks for relational behavior forecasting from sensor data
Sergio Casas, Cole Gulino, Renjie Liao, and Raquel Urtasun · 2020
Cited alongside, same era.
Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
Bowen Cheng, Maxwell D Collins, Yukun Zhu, Ting Liu, Thomas S Huang, Hartwig Adam, and Liang-Chieh Chen · 2020
Cited alongside, same era.
Semanticvoxels: Sequential fusion for 3d pedestrian detection using lidar point cloud and semantic segmentation
Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, and Christoph Stiller · 2020
Cited alongside, same era.
Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
Cited alongside, same era.
Mass: Multi-attentional semantic segmentation of lidar data for dense top-view understanding
Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, and Rainer Stiefelhagen · 2021
Later among the works it cites.
Center-based 3d object detection and tracking
Tianwei Yin, Xingyi Zhou, and Philipp Krahenbuhl · 2021
Later among the works it cites.
Stretchbev: Stretching future instance prediction spatially and temporally
Adil Kaan Akan and Fatma Güney · 2022
Later among the works it cites.
Superfusion: Multilevel lidar-camera fusion for long-range hd map generation and prediction
Hao Dong, Xianjing Zhang, Xuan Jiang, Jinchao Zhang, Jintao Xu, Rui Ai, Weihao Gu, Huimin Lu, Juho Kannala, and Xieyuanli Chen · 2022
Later among the works it cites.
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Junjie Huang and Guan Huang · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
Cited alongside, same era.
Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas · 2020
Cited alongside, same era.
Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
Cited alongside, same era.
Mp3: A unified model to map, perceive, predict and plan
Sergio Casas, Abbas Sadat, and Raquel Urtasun · 2021
Cited alongside, same era.
Pillarsegnet: Pillar-based semantic grid map estimation using sparse lidar data
Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, and Christoph Stiller · 2021
Cited alongside, same era.
Fiery: Future instance prediction in bird’s-eye view from surround monocular cameras
Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, and Alex Kendall · 2021
Cited alongside, same era.
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
Junjie Huang, Guan Huang, Zheng Zhu, and Dalong Du · 2021
Cited alongside, same era.
Later among the works it cites.
Polarformer: Multi-camera 3d object detection with polar transformers
Yan Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, and Yulin Jiang · 2022
Later among the works it cites.
Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, and Jifeng Dai · 2022
Later among the works it cites.
Bevfusion: A simple and robust lidar-camera fusion framework
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, and Zhi Tang · 2022
Later among the works it cites.
Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, and Song Han · 2022
Later among the works it cites.
Occupancy flow fields for motion forecasting in autonomous driving
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, and Dragomir Anguelov · 2022
Later among the works it cites.
Beverse: Unified perception and prediction in birds-eye-view for vision-centric autonomous driving
Yunpeng Zhang, Zheng Hua Zhu, Wenzhao Zheng, Junjie Huang, Guan Huang, Jie Zhou, and Jiwen Lu · 2022
Later among the works it cites.
Bevsegformer: Bird’s eye view semantic segmentation from arbitrary camera rigs
Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, and Erkang Cheng · 2023
Closest in time.
Tesla ai day 2021
Tesla · 2023
Closest in time.