Application for object detection with YOLOv4 and depth estimation using stereo cameras.

Depth Estimation using Stereo images using deep learning based architecture for disparity measurement.The architectures used for disparity estimation are BgNet,CreStereo, Raft-Stereo, HitNet,GwcNet…

Project to detect straight and curved lanes and predict the turn

Project to find disparity and depth maps for given two image sequences of a subject

Radar + Camera Perception Pipeline for an Autonomous Car

RealSense SDK

Realsense d435 stereo depth camera

"RealSense D455 + YOLOv5: Enhancing object detection accuracy with depth sensing."

This repo contains carla_vehicle_annotator module which can be used to automatically annotate Vehicle's 2D Bounding Boxes in CARLA SIMULATOR.

This repository tracks the latest advancements in 3D Gaussian Splatting from Arxiv, with daily automated updates. Stay up-to-date with cutting-edge research in this exciting field!

[CVPR 2026]. RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection

Official codes for paper: 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for Indoor 3D Object Detection

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

3D object detection from LiDAR point clouds using BEV representation and YOLO.

Simple and Easy simulator YOLO Object Detection with Bird's Eye View

Self-supervised monocular depth estimation

Code for RSPNet

A curated list of recent monocular depth estimation papers

This repository accompanies our research entitled "Using Monocular Depth Estimation for Distance Estimation in a Moving Vehicle," which introduces a method of actualizing generated monocular depth …

Codes for RoadBEV: road surface reconstruction in Bird's Eye View

OpenMMLab's next-generation platform for general 3D object detection.

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

SMART: A Self-Supervised Multi-Modal 3D Bounding Box Annotation Error Detection Framework

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

"Gradio" Interface for SpatialLM Model | A 3D Large Language Model for Structured Scene Understanding, Processing Point Cloud Data from Monocular Videos, RGBD Images, and LiDAR.

ROS wrapper for yolact instance segmentation with depth image extension for 3D bounding boxes and pointcloud segmentation