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https://waymo.com/research/offboard-3d-object-detection-from-point-cloud-sequences/
Offboard 3D Object Detection from Point Cloud Sequences
While current 3D object recognition research mostly focuses on the real-time, onboard scenario, there are many offboard use cases of perception that are...
3d object detectionpoint cloudsequences
https://waymo.com/research/pseudo-labeling-for-scalable-3d-object-detection/
Pseudo-labeling for Scalable 3D Object Detection
To safely deploy autonomous vehicles, onboard perception systems must work reliably at high accuracy across a diverse set of environments and geographies. One...
3d object detectionpseudolabelingscalable
https://waymo.com/research/range-conditioned-dilated-convolutions-for-scale-invariant-3d-object-detection/
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection
This paper presents a novel 3D object detection framework that processes LiDAR data directly on its native representation: range images. Benefiting from the...
3d object detectionrangeconditioneddilatedconvolutions
https://waymo.com/research/to-the-point-efficient-3d-object-detection-in-the-range-image-with-graph-convolution-kernels/
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
3D object detection is vital for many robotics applications. For tasks where a 2D perspective range image exists, we propose to learn a 3D representation...
3d object detectionpointefficientrangeimage
https://waymo.com/research/lef-late-to-early-temporal-fusion-for-lidar-3d-object-detection/
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection
We propose a late-to-early recurrent feature fusion scheme for 3D object detection using temporal LiDAR point clouds. Our main motivation is fusing...
3d object detectionleflateearlytemporal
https://waymo.com/research/spg-unsupervised-domain-adaptation-for-3d-object-detection-via-semantic-point-generation/
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
In autonomous driving, a LiDAR-based object detector should perform reliably at different geographic locations and under various weather conditions. While...
3d object detectiondomain adaptationspgunsupervisedvia
https://waymo.com/research/swformer-sparse-window-transformer-for-3d-object-detection-in-point-clouds/
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
3D object detection in point clouds is a core component for modern robotics and autonomous driving systems. A key challenge in 3D object detection comes from...
3d object detectionpoint cloudssparsewindowtransformer
https://waymo.com/research/3d-man-3d-multi-frame-attention-network-for-object-detection/
3D-MAN: 3D Multi-frame Attention Network for Object Detection
3D object detection is an important module in autonomous driving and robotics. However, many existing methods focus on using single frames to perform 3D...
3d manmulti frameobject detectionattentionnetwork