… is not visible from the camera or another sensor. Visual … camera by another non-transparent
surface or object that lies between the obstructed region and the image plane of the camera. …

… Finally, to handle objects that are difficult to detect in point clouds, we introduce an image-…
camera 3D object detection. As shown in Fig. 2, given a LiDAR BEV feature map and an image …

… is marked by the white box in the 2D image. The important region indicated by the attention
… head is a discriminative part of a human from camera image (it is difficult to recognize a head …

… an object detection model (MegaDetector) to camera trap … in detecting humans and animals
relative to manual image … a modified workflow integrating object detection with manual …

… We project all the 3D detection candidates into the image plane using the calibration
parameters between LiDAR and camera, and these constitute cues for our 3D-Q-2D image …

… 3D Detection Using Multi-modal Fusion We focus on camera-… object detector are a set of
2D bounding boxes in the image … For k 2D detection candidates in one image can be defined …

… Figure 2: Schematic illustration of our proposed PolarFormer for multi-camera 3D object
detection. For each image captured by any camera view, our model first extracts the feature …

… Frustum PointNet [23] directly operates on the raw point clouds obtained from an RGB-D
camera and uses the RGB image and a 2D object detector to localize objects in the point cloud. …

… -view 3D detection model fusing radar and camera data at the feature level. Our RCBEV
model consists of 4 parts: radar branch, image branch, fusion branch, and detection head. The …

… 3D object detection methods pay much attention to camera … [1] obtain 2D bounding boxes
with a CNN-based object detector and … However, methods based on the camera image have …