Martínez-Díaz, M.[Margarita],
Soriguera, F.[Francesc],
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IET-ITS(13), No. 4, April 2019, pp. 563-579.
DOI Link
1903
BibRef
Rao, Z.Y.[Zhong-Yu],
Wang, H.[Hai],
Chen, L.[Long],
Lian, Y.[Yubo],
Zhong, Y.[Yilin],
Liu, Z.[Ze],
Cai, Y.F.[Ying-Feng],
Monocular Road Scene Bird's Eye View Prediction via Big Kernel-Size
Encoder and Spatial-Channel Transform Module,
ITS(24), No. 7, July 2023, pp. 7138-7148.
IEEE DOI
2307
Transformers, Feature extraction, Kernel, Transforms, Task analysis, Roads,
Predictive models, Autonomous vehicles, bird's eye view map, deep learning
BibRef
Yuan, Y.S.[Yun-Shuang],
Cheng, H.[Hao],
Yang, M.Y.[Michael Ying],
Sester, M.[Monika],
Generating evidential BEV maps in continuous driving space,
PandRS(204), 2023, pp. 27-41.
Elsevier DOI
2310
Evidential deep learning, Semantic segmentation,
Cooperative perception, Bird's eye view
BibRef
Zhou, H.Y.[Hong-Yu],
Ge, Z.[Zheng],
Li, Z.[Zeming],
Zhang, X.Y.[Xiang-Yu],
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D
Perception,
ICCV23(8514-8523)
IEEE DOI
2401
BibRef
Zhu, X.[Xiyue],
Zyrianov, V.[Vlas],
Liu, Z.J.[Zhi-Jian],
Wang, S.[Shenlong],
MapPrior: Bird's-Eye View Map Layout Estimation with Generative
Models,
ICCV23(8194-8205)
IEEE DOI
2401
BEV models.
BibRef
Wang, H.Y.[Hai-Yang],
Tang, H.[Hao],
Shi, S.S.[Shao-Shuai],
Li, A.[Aoxue],
Li, Z.G.[Zhen-Guo],
Schiele, B.[Bernt],
Wang, L.W.[Li-Wei],
UniTR: A Unified and Efficient Multi-Modal Transformer for
Bird's-Eye-View Representation,
ICCV23(6769-6779)
IEEE DOI Code:
WWW Link.
2401
BibRef
Qin, Z.[Zequn],
Chen, J.Y.[Jing-Yu],
Chen, C.[Chao],
Chen, X.Z.[Xiao-Zhi],
Li, X.[Xi],
UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal
Representation in Bird's-Eye-View,
ICCV23(8656-8665)
IEEE DOI
2401
BibRef
Man, Y.Z.[Yun-Ze],
Gui, L.Y.[Liang-Yan],
Wang, Y.X.[Yu-Xiong],
BEV-Guided Multi-Modality Fusion for Driving Perception,
CVPR23(21960-21969)
IEEE DOI
2309
BibRef
Yang, C.Y.[Chen-Yu],
Chen, Y.T.[Yun-Tao],
Tian, H.[Hao],
Tao, C.X.[Chen-Xin],
Zhu, X.[Xizhou],
Zhang, Z.X.[Zhao-Xiang],
Huang, G.[Gao],
Li, H.Y.[Hong-Yang],
Qiao, Y.[Yu],
Lu, L.W.[Le-Wei],
Zhou, J.[Jie],
Dai, J.F.[Ji-Feng],
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View
Recognition via Perspective Supervision,
CVPR23(17830-17839)
IEEE DOI
2309
BibRef
Peng, L.[Lang],
Chen, Z.R.[Zhi-Rong],
Fu, Z.J.[Zhang-Jie],
Liang, P.P.[Peng-Peng],
Cheng, E.[Erkang],
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary
Camera Rigs,
WACV23(5924-5932)
IEEE DOI
2302
Semantic segmentation, Semantics, Layout, Transformers, Cameras,
Decoding, Applications: Robotics, visual reasoning
BibRef
Chen, C.[Chang],
Zhang, J.M.[Jia-Ming],
Yang, K.L.[Kai-Lun],
Peng, K.Y.[Kun-Yu],
Stiefelhagen, R.[Rainer],
Trans4Map: Revisiting Holistic Bird's-Eye-View Mapping from
Egocentric Images to Allocentric Semantics with Vision Transformers,
WACV23(4002-4011)
IEEE DOI
2302
Computational modeling, Semantic segmentation, Semantics,
Memory management, Pipelines, Transformers, Feature extraction,
segmentation
BibRef
Zhou, W.D.[Wen-Ding],
Yan, X.[Xu],
Liao, Y.H.[Ying-Hong],
Lin, Y.K.[Yuan-Kai],
Huang, J.[Jin],
Zhao, G.M.[Gang-Ming],
Cui, S.G.[Shu-Guang],
Li, Z.[Zhen],
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion,
CVPR23(9233-9242)
IEEE DOI
2309
BibRef
Gosala, N.[Nikhil],
Petek, K.[Kürsat],
Drews-Jr, P.L.J.[Paulo L. J.],
Burgard, W.[Wolfram],
Valada, A.[Abhinav],
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using
Monocular Frontal View Images,
CVPR23(14901-14910)
IEEE DOI
2309
BibRef
Wang, R.[Ruihao],
Qin, J.[Jian],
Li, K.[Kaiying],
Li, Y.[Yaochen],
Cao, D.[Dong],
Xu, J.T.[Jin-Tao],
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera
via Key-Points,
CVPR23(21611-21620)
IEEE DOI
2309
BibRef
Gong, S.[Shi],
Ye, X.Q.[Xiao-Qing],
Tan, X.[Xiao],
Wang, J.D.[Jing-Dong],
Ding, E.[Errui],
Zhou, Y.[Yu],
Bai, X.[Xiang],
GitNet: Geometric Prior-Based Transformation for Birds-Eye-View
Segmentation,
ECCV22(I:396-411).
Springer DOI
2211
For vehicle -- perspective to BEV transformation, then segment.
BibRef
Li, Z.Q.[Zhi-Qi],
Wang, W.H.[Wen-Hai],
Li, H.Y.[Hong-Yang],
Xie, E.[Enze],
Sima, C.H.[Chong-Hao],
Lu, T.[Tong],
Qiao, Y.[Yu],
Dai, J.F.[Ji-Feng],
BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera
Images via Spatiotemporal Transformers,
ECCV22(IX:1-18).
Springer DOI
2211
BibRef
Zhao, Y.[Yun],
Zhang, Y.[Yu],
Gong, Z.[Zhan],
Zhu, H.[Hong],
Scene Representation in Bird's-Eye View from Surrounding Cameras with
Transformers,
WAD22(4510-4518)
IEEE DOI
2210
Image segmentation, Image coding, Computational modeling,
Semantics, Robot vision systems, Predictive models, Cameras
BibRef
Akan, A.K.[Adil Kaan],
Güney, F.[Fatma],
StretchBEV: Stretching Future Instance Prediction Spatially and
Temporally,
ECCV22(XXXVIII:444-460).
Springer DOI
2211
predict location of vehicles.
BibRef
Fraser, H.[Helmi],
Wang, S.[Sen],
DeepBEV: A Conditional Adversarial Network for Bird's Eye View
Generation,
ICPR21(5581-5586)
IEEE DOI
2105
Object detection, Cameras, Robustness, Data models, Generators,
Sensors, Safety
BibRef
Can, Y.B.[Yigit Baran],
Liniger, A.[Alexander],
Paudel, D.P.[Danda Pani],
Van Gool, L.J.[Luc J.],
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard
Images,
ICCV21(15641-15650)
IEEE DOI
2203
Roads, Semantics, Neural networks, Directed graphs, Object detection,
Cameras, Transformers,
Visual reasoning and logical representation
BibRef
Hu, A.[Anthony],
Murez, Z.[Zak],
Mohan, N.[Nikhil],
Dudas, S.[Sofía],
Hawke, J.[Jeffrey],
Badrinarayanan, V.[Vijay],
Cipolla, R.[Roberto],
Kendall, A.[Alex],
FIERY: Future Instance Prediction in Bird's-Eye View from Surround
Monocular Cameras,
ICCV21(15253-15262)
IEEE DOI
2203
Computational modeling, Motion segmentation, Dynamics,
Stochastic processes, Predictive models, Sensor fusion, Cameras,
Video analysis and understanding
BibRef
Zhang, Y.[Yin],
Kong, G.J.[Guo-Jie],
Ren, G.Q.[Guo-Quan],
Xie, H.[Hui],
Label Propagation from camera image to point cloud BEV,
CVIDL20(34-38)
IEEE DOI
2102
BEV: bird's eye view.
cameras, convolutional neural nets, image annotation,
learning (artificial intelligence), object detection,
Conditional Random Field (CRF)
BibRef
Abbas, S.A.,
Zisserman, A.,
A Geometric Approach to Obtain a Bird's Eye View From an Image,
GMDL19(4095-4104)
IEEE DOI
2004
cameras, convolutional neural nets,
feature extraction, geometry, image reconstruction,
camera rotation
BibRef
Palazzi, A.[Andrea],
Borghi, G.[Guido],
Abati, D.[Davide],
Calderara, S.[Simone],
Cucchiara, R.[Rita],
Learning to Map Vehicles into Bird's Eye View,
CIAP17(I:233-243).
Springer DOI
1711
For presenting scene to driver.
BibRef
Liu, Y.C.[Yu-Chih],
Lin, K.Y.[Kai-Ying],
Chen, Y.S.[Yong-Sheng],
Bird's-Eye View Vision System for Vehicle Surrounding Monitoring,
RobVis08(207-218).
Springer DOI
0802
BibRef
Rettkowski, J.,
Gburek, D.,
Göhringer, D.,
Robot navigation based on an efficient combination of an extended
A* algorithm, bird's eye view and image stitching,
DASIP15(1-8)
IEEE DOI
1605
mobile robots
BibRef
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Multi-View Object Detection, Object Extraction .