A review and perspective on optical phased array for automotive LiDAR

CP Hsu, B Li, B Solano-Rivas, AR Gohil… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
This paper aims to review the state of the art of Light Detection and Ranging (LiDAR)
sensors for automotive applications, and particularly for automated vehicles, focusing on …
PV Sabique, P Ganesh, R Sivaramakrishnan - The Journal of …, 2022 - Springer
This paper proposes a novel method for estimating the reaction force, the Stereovision
Based Force Estimation Method (SBFEM), with deep learning techniques to predict the …

Study on 3D scene reconstruction in robot navigation using stereo vision

NQ Ann, MSH Achmad, L Bayuaji… - … on Automatic Control …, 2016 - ieeexplore.ieee.org
In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera
parameters from the camera calibration process and disparity map are two important …

Improved deep learning architecture for depth estimation from single image

SFA Abuowaida, HY Chan - Jordanian Journal of Computers …, 2020 - search.proquest.com
Numerous benefits of depth estimation from the single image field on medicine, robot video
games and 3D reality applications have garnered attention in recent years. Closely related …

Bokeh-loss gan: multi-stage adversarial training for realistic edge-aware bokeh

B Lee, F Lei, H Chen, A Baudron - European Conference on Computer …, 2022 - Springer
In this paper, we tackle the problem of monocular bokeh synthesis, where we attempt to
render a shallow depth of field image from a single all-in-focus image. Unlike in DSLR …

Implementation of depth-HOG based human upper body detection on a mini PC using a low cost stereo camera

BSB Dewantara, F Ardilla… - … Conference of Artificial …, 2019 - ieeexplore.ieee.org
In this paper, we propose a human upper body detection using a depth image that is
implemented on a mini PC using a low cost stereo camera. The camera, named Minoru 3D …