… to improve the performance of existing image-based depth prediction networks. This PnP …
of these approaches is the lack of large-scale datasets that have dense depth ground truth. …

… major categories: image-based, point-cloud-based, and image and point-cloud fusion-based. …
This section focuses on image-based object detection from the traditional to the DL-based …

… The former includes voxel-based and 2-D imagebased deep learnings. The Part-A2Net …
point cloud are ground truth. Both Frustum PointNets and our approach accurately identify …

… the ground moving target tracking problem by a fixed-wing unmanned aerial vehicle (UAV)
with a monocular pan-tilt camera. By utilizing the image-based … of the ground moving target. …

… Then, to detect the obstacles, ground data is used. Ulrich and Nourbakhsh [56] proposed a
technique where each pixel in the image is labelled as an obstacle or ground using its pixel …

… As the tire-pavement friction is dynamic and challenging to measure directly, we adopt a
DTM to generate the ground-truth friction labels for training the deep CNN. The DTM calculates …

… Whereas early attempts to measure growth information automatically relied on manually
acquired numerical data, our approach uses fused forms of multimodal images as the input of …

… The image-based spatial positioning has attracted a lot of attention over the years. Most of
… Figure 11 shows that our methods located close to the ground truth line around the corner of …

… aid approach (ground control approach). An advanced version of this method known was the
precision approach… The term contrast is defined as the representation of image based on its …

… 2, several 3D modeling techniques can be performed following image-based approaches
and either terrestrial or aerial LiDAR scans. Regardless of the method used, the result is a …