SUMO (Simulation of Urban MObility) is "an open source, highly portable, microscopic and continuous multi-modal traffic simulation package designed to handle large ...

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds (ECCV2022) This repository contains a PyTorch implementation of SQN on SemanticKitti (S3DIS have not been supported). This ...

Abstract: A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on a 3D skeleton-based human ...

Abstract: Distributed full-graph training of Graph Neural Networks (GNNs) has been widely adopted to learn large-scale graphs. While recent system advancements can improve the training throughput of ...

Equipped with 3D LiDAR and multi-sensor fusion, the MT1 Max can "understand" complex environments with centimeter-level accuracy and detect objects up to 150 meters away. It accurately recognizes and ...