Implementing of sensors and actuators for autonomous driving by Yeo, Darren Zhi Duo

“…Sensors such as the Light Detection and Ranging (LiDAR), RAdio Detection And Ranging (Radar), Global Positioning System (GPS), stereo camera and ultrasonic sensors are popularly engaged in autonomous vehicle. …”
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Hybrid SLAM and object recognition on an embedded platform by Low, Timothy Zhi Hao

“…The hybrid SLAM system is implemented and tested on the NVIDIA Jetson Xavier NX embedded system together with the ZED2 Stereo camera for input. ORB SLAM3, a well established visual SLAM algorithm was chosen for estimating the camera poses and orientation. …”
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Medical navigation based on coloured markers for image-guided surgery by Elsamnah, Fahed, Sediono, Wahju

“…Image filtering techniques have been used to process the images captured from stereo camera. As a result, medical navigation based on coloured markers contributes a promising result of image-guided surgery. …”
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LUI : a scalable, multimodal gesture- and voice-interface for large displays by Parthiban, Vikraman.

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An implementation of face-to-face grounding in an embodied conversational agent by Reinstein, Gabriel A. (Gabriel Alexander), 1980-

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Stereo vision and laser odometry for autonomous helicopters in GPS-denied indoor environments by Prentice, Samuel James, He, Ruijie, Bachrach, Abraham Galton, Achtelik, Markus Wilhelm, Roy, Nicholas

“…We compare two sensor suites, specifically a laser rangefinder and a stereo camera. Laser and camera sensors are both well-suited for recovering the helicopter's relative motion and velocity. …”
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A unified calibration method with a parametric approach for wide-field-of-view multiprojector displays by Raskar, Ramesh, Ogata, Masato, Wada, Hiroyuki, Baar, Jeroen van

“…We show several prototype systems that use a stereo camera for capturing and a new rendering method for quadric curved screens. …”
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Tracking body and hands for gesture recognition: NATOPS aircraft handling signals database by Song, Yale, Demirdjian, David, Davis, Randall

“…The framework uses a stereo camera to collect 3D images, and tracks body and hand together, combining various existing techniques to make tracking tasks efficient. …”
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Finding the correspondence points in images of multi-views by Yau, Wei-Yun, Teoh, Eam Khwang, Anvar, Seyed Mohammad Hassan

“…They generally perform when used to find the correspondences between two images of the same object, such as in a video sequence or in a stereo camera. However, they fail if the number of true matches between two images was small compared to all the potential correspondence points found, which could happen if both scenes vary significantly, such as when the objects are not the same but of the same class. …”
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Learning place-dependant features for long-term vision-based localisation by McManus, C

“…This thesis examines the problem of localisation against a known map across extreme lighting and weather conditions using only a stereo camera as the primary sensor. The method presented departs from traditional techniques that blindly apply out-of-the-box interest-point detectors to all images of all places. …”

Concurrent filtering and smoothing by Kaess, Michael, Williams, Stephen, Indelman, Vadim, Roberts, Richard, Leonard, John Joseph, Dellaert, Frank

“…This approach has been applied to simulated aerial vehicle sensors consisting of a high-speed IMU and stereo camera. Loop closures are extracted from the vision system in an external process and incorporated into the smoother when discovered. …”
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System integration for robotic surgical tool handling workcell by Chua, Chee Yung

“…The proposed system also incorporated a stereo camera and router to enhance the vision-aided system, enabling the system to capture Point Cloud data or perform image processing, along with the high-speed data transmission among the modules. …”
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Stereo depth maps reconstruction using structured light by Goh, Jing Rui

“…In this project, a high-accuracy depth reconstruction system was designed and developed using a stereo camera and structured light. It builds upon an analysis of the theoretical foundations of stereo vision and camera imaging principles to eliminate the lack of features and susceptibility to lighting conditions, ultimately increasing the accuracy of the reconstructed depth maps.…”
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Development of vertical movement stabilizer for vehicle active suspension system by Alireza, Rezanoori

“…Application of different sensors such as laser sensor or stereo camera for scanning road profile and different types of mechanical mechanism such as hydro pneumatic or hydraulic system for readjusting axles are challenges between car manufacturers. …”
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Toward robust active semantic SLAM via Max-Mixtures by Baxter, David P.,Nav. E.(David Paul)Massachusetts Institute of Technology.

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Uncertainty guided ranking loss for enhanced domain generalizable stereo-matching by Nallapati, Nikhil

“…To ascertain the practical viability of our methodology, a field trial was conducted leveraging the ZED 2i stereo camera in conjunction with a real-time model deployed on an Nvidia Jetson development kit. …”
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Living in a dynamic world: semantic segmentation of large scale 3D environments by Miksik, O

“…To relax the assumption of a stereo camera, I address dense 3D reconstruction in its monocular form and show how the local model can be improved by joint optimization over depth and pose.…”

Mapping and determining the center of mass of a rotating object using a moving observer by Setterfield, Timothy Philip, Miller, David W, Leonard, John J, Saenz Otero, Alvar

“…This paper addresses these tasks using an observer that measures its own orientation, angular rate, and acceleration, and is equipped with a dense 3D visual sensor, such as a stereo camera or a light detection and ranging (LiDAR) sensor. …”
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Context-based visual feedback recognition by Morency, Louis-Philippe, 1977-

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Vision-based flexible leader-follower formation tracking of multiple nonholonomic mobile robots in unknown obstacle environments by Wang, Yuanzhe, Shan, Mao, Yue, Yufeng, Wang, Danwei

“…To obtain the relative pose relationships amongst robots, a stereo camera is mounted on each follower. In consideration of the fact that visual observations are noise-corrupted and intermittently available, a particle filter-based relative pose estimation approach is employed to estimate the position and orientation of the leader in the local reference frame of the follower using the polluted and discontinuous information. …”
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