atanas1054

atanas1054

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Company:DFKI

Location:Germany

Home Page:https://www.dfki.de/web/

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atanas1054's starred repositories

ReliableStudent

[CVPR 2023 - L3D-IVU] PyTorch implementation of "Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection"

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pytorch_tutorials

Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!

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Forge_VFM4AD

A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.

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kitti_to_rosbag

Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velodyne scans, and images.

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OpenCOOD

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

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Collaborative-Perception-in-Autonomous-Driving

(2023 ITSM) Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges

Stargazers:44Issues:0Issues:0

V2XP-ASG

[ICRA 2023] V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception

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coperception

An SDK for multi-agent collaborative perception.

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Collaborative_Perception

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

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robustness

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

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CARLA-KITTI

CARLA-KITTI generates synthetic data from the CARLA simulator for KITTI 2D/3D Object Detection task.

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ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

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MMD_Loss.Pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

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trajdata

A unified interface to many trajectory forecasting datasets.

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point_labeler

My awesome point cloud labeling tool

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ACP-3Detection

[ICRA 2021] Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

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MotionNet

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

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latte

LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

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carla-training-data

Generating training data from the Carla driving simulator in the KITTI dataset format

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SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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