… exploring the robustness of the 3D object detection in point … : 1) the detection accuracy of the
hard objects, eg, Pedestrians… noisy points around each object, the presented approach goes …

… 3D detection algorithm should exploit such advantages. In this work, we propose a robust 3D
… ), which helps to improve 3D object detection performance and reduce problems caused by …

… We evaluate novel 3D object detectors on the KITTI, nuScenes, and Waymo dataset and …
, and robustness. Finally, we mention the current challenges in 3D object detection in LiDAR …

… sensor modality dropout, which leads to robust 3D object detection, even when a camera
or … competitive performance in monocular 3D object detection on the Waymo Open Dataset. …

… -based 3D object detection under snowfall. … 3D object detection models that are robust to
snowfall. We conduct an extensive evaluation using several state-of-the-art 3D object detection …

… In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT),
for end-to-end 3D multimodal detection. Without explicit view transformation, CMT takes the …

… In this work, we presented a framework for increasing 3D object detection robustness against
the phenomenon of vehicle gas exhaust condensation in cold weather conditions. We first …

… object detection in 3D point clouds with VoxelNet, this study proposes a robust network for
detecting moving objects while considering the cause of similar momentary missed detection …

… 3D perception of the environment using roadside LiDARs. We design a 3D object detection
model that can detect … Our model uses an existing 3D detector as a baseline and improves its …

… To comprehensively evaluate the corruption robustness of 3D object detection models, we
establish three corruption robustness benchmarks based on the most widely used datasets in …