depth-sensing

Official implementation of αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System

Real-time 3D room reconstruction on Meta Quest 3. GPU TSDF + Surface Nets meshing, passthrough texturing, on-device texture refinement with Sobel normals, AI object detection (YOLO/Sentis + GPU NMS), MRUK scene understanding, Gaussian Splat training & rendering, multi-scan persistence with spatial anchors. Unity 6 URP package.

3D reconstruction from Meta Quest passthrough and depth via Reality Capture app, with Open3D/TSDF, COLMAP/Nerfstudio export, and Gaussian Splatting prep.

An open source program for generating 3D keypoint files with an Intel RealSense depth camera and OpenPose

iOS 15.4 AVFoundation LiDAR sensor + MIDI notes = depth-based augmented reality music visualization as the music is being played

GPU Realtime depth passive stereo sensing using ADCensus

PatchMatch Stereo with Red-Black modifiaction and Row Parallel modification for massively parallel computing

Real-time on-skin touch UI for Meta Quest 3. Reconstructs your forearm from environment depth and makes it a touchscreen.

The MM5 dataset is a comprehensive multimodal dataset capturing RGB, Depth, Thermal (LWIR), Ultraviolet (UV), and Near-Infrared (NIR) images.

Demonstration of real time depth estimation on the browser without depth sensors in Three.Js and A-Frame using machine learning models FastDepth and others.

Virtual boxes standing on live-sensed real geometry in a browser, on a stock Android phone.

Code release for "Spatial Calibration of Diffuse LiDARs" (Behari & Raskar 2026). Spatial calibration tools for diffuse time-of-flight LiDAR sensors (TMF8828).

Accurate depth sensing with computer vision and live LIDAR point-cloud data.

EMAR Mini is an open-source Emergency Assistance Robot protptype. The project is a proof of concept designed to assist doctors, nurses and hospital staff during the situations similar to the COVID-19 pandemic that we may face in the future.

AI-based 3D depth sensing from stereo vision systems

iOS navigation aid for blind and low vision users. Reads LiDAR depth from ARKit, reduces each frame to left, ahead and right distances, and speaks the nearest obstacle with a matching haptic pattern. Also reads text aloud and detects people and animals through Vision. Swift and SwiftUI, on device, no third party dependencies. Needs a LiDAR iPhone.

Nondestructive depth sensing for maize ear yield prediction from RGB+depth images

Flutter + native Android (Kotlin) app that captures synchronized RGB + depth frames using ARCore Depth API, with stride-aware DEPTH16 reads, camera intrinsics, and ZIP export.

Comparative analysis of YOLOv5,8,9,10 object detection models using Intel RealSense D455 depth camera with constant depth in ROS2 Foxy.

SafeBubble — real-time depth-aware safety bubble for wearable RGB+Depth (YOLOv8 + Intel RealSense, TTC alerts & visualization)