Robuta

Sponsor of the Day: Jerkmate
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