In this paper, we propose an efficient curb detection and trackingmethod (ECDT) based on high-resolution 3D-LiDAR.The ECDT follows manual-feature based technique routine, and the algorithm is consist by five steps. Firstly, the ECDT downsamples the raw point cloud and performs rough ground segmentation. Then we project the non-ground points into a density image under bird’s eye-view (BEV) and combine the improved beam model to realize the identification of road intersection and the classification of laser points. Thirdly, we down-sample the ground points and project them into BEV to obtain height difference image, and use gamma stretching upon the obtained image to extract candidate points. In addition, three filtering operation are applied to obtain accurate feature points. Finally, the algorithm perform curb fitting and tracking. In the experiment, we first compared the ECDT algorithm with the classic 3D curb algorithm, and verified the real-time performance of our method. Then we further test the ECDT under multiple complex scenarios by RSReference ground truth system. The results show that the proposed method has high accuracy and satisfactory robustness.
A coaxial projective imaging (CPI) module acquires surgical scene images from the local site of surgery, transfers them wirelessly to the remote site, and projects instructive annotations to the surgical field. At the remote site, the surgical scene images are displayed, and the instructive annotations from a surgical specialist are wirelessly transferred back to the local site in order to guide the surgical intervention by a less experienced surgeon. The CPI module achieves seamless imaging of the surgical field and accurate projection of the instructive annotations, by a coaxial optical path design that couples the imaging arm with the projection arm and by a color correction algorithm that recovers the true color of the surgical scene. Our benchtop study of tele-guided intervention verifies that the proposed system has a positional accuracy of better than 1 mm at a working distance ranging from 300 to 500 mm. Our in vivo study of cricothyrotomy in a rabbit model proves the concept of tele-mentored surgical navigation. This is the first report of tele-guided surgery based on CPI. The proposed technique can be potentially used for surgical training and for telementored surgery in resource-limited settings.
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