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Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.acdc
Code Repository for the MOOC "Automated and Connected Driving Challenges" available on edX.acdc-notebooks
Jupyter Notebooks for the MOOC "Automated and Connected Driving Challenges" available on edX.mqtt_client
ROS / ROS 2 C++ Node for bi-directionally bridging messages between ROS and MQTTdrone-dataset-tools
The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.docker-ros
docker-ros automatically builds development and deployment Docker images for your ROS-based repositorieslibtensorflow_cc
Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ APIEviLOG
TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.docker-run
'docker run' and 'docker exec' with useful defaultsMultiCorrupt
MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.docker-ros-ml-images
Machine Learning-Enabled ROS Docker ImagesPoint-Cloud-Compression
Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.etsi_its_messages
ROS / ROS 2 Support for ETSI ITS Messages for V2X CommunicationPCLSegmentation
Tensorflow 2.9 Pipeline for Semantic Point Cloud Segmentation with SqueezeSeqV2, Darknet21 and Darknet53.tensorflow_cpp
Helpful model wrappers around TensorFlow C++ APIacdc-research-projects
Research Projects of the MOOC "Automated and Connected Driving Challenges"carlos
CARLA Open Simulation Architectureomega_format
A Python library for reading, writing and visualizing the OMEGA Format, targeted towards storing reference and perception data in the automotive context on an object list basis with a focus on an urban use case.RoadGeneration
Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated VehiclesSimDriver
A responsive driver model for traffic simulations to create exact and closed-loop microscopic traffic scenarios.robotkube
Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROSros-v2x-benchmarking-suite
ROS V2X Benchmarking Suitemqtt-in-docker
Learn how to combine the MQTT protocol with Docker for applications in the Internet of Things (IoT). Secure your communication with authentication and encryption. Learn how to create a Public-Key Infrastructure.dorotos
Tooling Suite for Containerized ROS Applicationsmessage_tf_frame_transformer
ROS Node to transform messages of arbitrary type to a different frame using tf2::doTransformDEviLOG
agent-model-integration
Integration of an Agent Model into an Open Simulation Architecture for Scenario-Based Testing of Automated Vehiclesdocker-ros-ci
acdc-wiki-pub
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