monocular-3d-detection

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

Awesome Monocular 3D detection

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

[CVPR 2021] Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

This repository contains unofficial pytorch implementations for SMOKE, MonoCon, GUPNet, MonoFlex and IDMS

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

Code for "Open Vocabulary Monocular 3D Object Detection"

MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model

Akshay Rangesh and Mohan M. Trivedi, "Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road," IEEE Transactions on Intelligent Vehicles, 2020.

GAC3D: Improving Monocular 3D Object Detection with Ground-Guide Model and Adaptive Convolution (PeerJ)

Official repository for IEEE Transaction on Intelligent Transportation System, entitled "One Stage Monocular 3D Object Detection Utilizing Discrete Depth and Orientation Representation."

Monocular object detector implementation for Waymo multi-view training and evaluation. Includes code for adaption, evaluation, data augmentation and configuration.

object detection

streamlit app for object detection, 3d bounding box drawing, 3d bounding box real life measurement

PMOD-Net: point-cloud-map-based metric scale obstacle detection by using a monocular camera

Graduation thesis : "Monocular 3D Object Detection with Deep Learning"

PMOD-Net: point-cloud-map-based metric scale obstacle detection by using a monocular camera