[1] E. Baser, V. Balasubramanian, P. Bhattacharyya, and K. Czarnecki. Fantrack: 3d multi-object tracking with feature association network. InIntel. Vehicles Symp., 2019. [2] P. Bergmann, T. Meinhardt, and L. Leal-Taixe. Tracking without bells´ and whistles. InICCV, 2019. [3] K....
2. ICRA 2021-EagerMOT: 3D Multi-Object Tracking via Sensor Fusion 1.总览: 文章链接: http://arxiv.org/pdf/2104.14682v1.pdf 代码链接:github.com/aleksandrkim 出发点:该算法是融合2d和3d检测来源的mot算法,且采取了两阶段的数据关联。问题:3D点云的检测和跟踪有精确的距离测量,但是远距离的物体扫到的...
提出了新的评估指标,考虑不同的轨迹置信度阈值 2. ICRA 2021-EagerMOT: 3D Multi-Object Tracking via Sensor Fusion 1.总览: 文章链接:http://arxiv.org/pdf/2104.14682v1.pdf 代码链接:https://github.com/aleksandrkim61/EagerMOT 出发点:该算法是融合2d和3d检测来源的mot算法,且采取了两阶段的数据关联。...
[6] D.Y.KimandM.Jeon,“Datafusionofradarandimagemeasurements for multi-object tracking via Kalman filtering,” Information Sciences, vol. 278, pp. 641–652, 2014. [7] J. Kim, D. S. Han, and B. Senouci, “Radar and vision sensor fusion for object detection in autonomous vehicle surrou...
Sensor Fusion Based Weighted Geometric Distance Data Association Method for 3D Multi-object Trackingdoi:10.1007/978-981-16-9247-5_25In the field of autonomous driving, 3D multi-object tracking (MOT) plays an important role as one of the key tasks in the overall perception system, which ensures...
Multi-View Fusion (MVF,多视图融合):基于MVF的网格编码器将柱状/体素编码和基于范围视图的表示进行融合。将柱状编码器与基于圆柱坐标的视图编码器结合起来,以将点分组。 在此基础上,通常情况下在一般的waymo任务会将voxel或者pillar的方案的尺寸设计成0.075作为一个比较公平的基线。作者讨论了如果的resolution对最终的...
BEVDet4D :BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection BEVDet :BEVDet: ...
While sensor fusion has been widely used in object detection networks in recent years, most existing multi-object tracking algorithms either rely on a single input modality, or do not fully exploit the information provided by multiple sensing modalities. In this work, we propose an end-to-end ...
MMF: Multi-task multi-sensor fusion for 3D object detection,in CVPR。该文章提出了一种用于端到端训练的多任务,多传感器的三维物体检测网络。其中包含的任务有,2D物体检测,地面估计,深度完善。这些多种任务使得网络可以更好地学习特征表示,交叉模态的特征表示可以被进一步使用去生成更精确的物体检测结果。结果在2D...
Multi-task multi-sensor fusion for 3d object detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019:7345-7353. [28] Li J, Luo S, Zhu Z, et al. 3d iou-net: Iou guided 3d object detector for point clouds [J]. arXiv preprint arXiv:200404962,...