#trajectoryprediction kết quả tìm kiếm
Our Social Distancing Early Forecasting system is open-sourced! See more in this blog: #SocialDistancing #ComputerVision #TrajectoryPrediction link.medium.com/mexe0zBB55
How do #AutomatedVehicles handle on-ramp merging? What if you formulate safety constraints but human drivers around you violate them, especially in dense traffic? We are working on integrating #TrajectoryPrediction and tactical planning to solve this problem efficiently.
Reframing #trajectoryprediction for other vehicles as planning for themselves allows planning algorithms e.g. gradient descent on potential fields with fixed params. Working fine in simple situation but fails in complex ones (lane changes) motivating learning-based approaches.
🧶2/4 This paper proposes a probabilistic informed learning approach that integrates prior world and expert knowledge without such requirements by repurposing #continuallearning methods: #GCVLDet and showcases it in the domain of #trajectoryprediction for #autonomousdriving 🚗
Urban interaction-aware #TrajectoryPrediction is a prerequisite to enable #AutomatedDriving in complex scenes involving pedestrians and cyclists. We use Multiple Futures Prediction as baseline to compare against for evaluating our own approaches on the inD dataset (@ika_RWTH).
#highlycitedpaper A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction mdpi.com/1424-8220/21/2… #TrajectoryPrediction #PedestrianBehavior #AutonomousVehicles
SemanticFormer leverages knowledge graphs for improved trajectory prediction in autonomous driving. #AutonomousDriving #AI #TrajectoryPrediction
Predicting surrounding vehicles motion is crucial for #automateddriving. RST has already developed algorithms for #lanechangeprediction and #trajectoryprediction. Now we work on the hardest problem interaction-aware, multi-agent scene prediction. #selfdrivingcars #deeplearning
Looks boring? But only superficially! Using Graph Neural Networks is a promising approach towards interaction-aware #TrajectoryPrediction for #AutomatedDriving. Currently, we’re working on such an approach based on the #highD dataset (@ika_RWTH). #DeepLearning #MachineLearning
🔍 Exciting #research alert! 'InfoSTGCAN: An Information-Maximizing Spatial-Temporal Graph Convolutional Attention Network for Heterogeneous Human #TrajectoryPrediction' introduces a novel approach for predicting human trajectories. 🚶♂️🔮 #AI mdpi.com/2825026
Discover TrajectoryNAS, a cutting-edge method using neural architecture search to optimize trajectory prediction in autonomous driving. #NeuralArchitectureSearch #AutonomousDriving #TrajectoryPrediction
We will work on AI-based situation interpretation for automated driving in the project KISSaf, which is supported by the federal ministry for economic affairs and energy on the basis of a decision by the german bundestag. #machinelearning #trajectoryprediction #motionplanning
Pedestrian Trajectory Prediction in Extremely Crowded Scenarios mdpi.com/1424-8220/19/5… #trajectoryprediction #humaninteraction #LSTM #deeplearning
A bachelor thesis investigated a light-weight model-based extension of the Convolutional Social Pooling approach for #TrajectoryPrediction in #AutomatedDriving. This way, complex interaction-aware prediction models can be approximated with supprising results. #DeepLearning
A short preview of a new #trajectoryprediction approach for #automateddriving. Multimodal trajectories can be predicted 5s ahead beating Convolutional Social Pooling as powerful baseline. Stay tuned for more information and publication @ieeeiv2020 #selfdrivingcars #deeplearning
A master thesis investigated a general #GraphCompletion approach applied to traffic graphs for #AutomatedDriving and specifically #TrajectoryPrediction. The model learned to reason for missing vehicles/nodes from the motion and structure of the remaining ones. #DeepLearning
#highlycitedpaper Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning mdpi.com/1424-8220/22/5… #TrajectoryPrediction #DeepLearning
1/5 🚀"Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation." This method enhances diffusion models for accurate trajectory prediction and control. #AI #MachineLearning #TrajectoryPrediction
Vehicle #TrajectoryPrediction and Collision Warning via Fusion of #Multisensors and Wireless Vehicular Communications 👋mdpi.com/1424-8220/20/1… #TrajectoryPrediction #IntelligentVehicles #VehicularCommunications #Multisensors
#Trajectoryprediction is a safety-critical tool for #autonomousvehicles to plan/execute actions. Our work addresses two challenges in trajectory prediction: learning multimodal outputs and better predictions by imposing constraints using driving knowledge. buff.ly/3M36hsH
🔥 Read our Highly Cited Paper 📚 A Ship #TrajectoryPrediction Method Based on an Optuna–#BILSTM Model 🔗 mdpi.com/2076-3417/14/9… 👨🔬 Yipeng Zhou, Ze Dong and Xiongguan Bao 🏫 @Ningbo_Uni #trafficsafety #trafficmanagement
🚢📡 New in #MaritimeAI: The transformer-based model Crossformer accurately predicts ship trajectories by capturing spatiotemporal dependencies from AIS data. 📄 Read more: oaepublish.com/articles/ir.20… #AI #TrajectoryPrediction #Transformer #Shipping #MaritimeSafety
A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction jcst.ict.ac.cn/article/doi/10… #DataMining #TrajectoryPrediction #SpatialTemporal #Institute_of_Computing_Technology @CAS__Science @UCAS1978
More details, code and models will be hosted on: kumarmanas.github.io/SHIFT #TrajectoryPrediction #AI #SelfDriving #RSS2025
CTD uses a pre-trained scoring model + diffusion model to generate trajectories that actually respect fuzzy, real-world rules! Think autonomous navigation that *gets* the vibe of the environment. A big step towards smarter robots! #MachineLearning #TrajectoryPrediction
🚀 Title Drop: PCTP-Net Unveiled – Revolutionizing Multi-Vehicle Trajectory Prediction for Autonomous Rides! Get ready for smarter, safer autonomous rides powered by PCTP-Net! ✨link.springer.com/article/10.100… #AutonomousVehicles #TrajectoryPrediction #PCTPNet #AIinMotion #SmartMobility
🔥 Read our Highly Cited Paper 📚A Ship Trajectory Prediction Model Based on Attention-BILSTM Optimized by the Whale Optimization Algorithm 🔗mdpi.com/2076-3417/13/8… 👨🔬 by Dr. Hongyu Jia et al. #trajectoryprediction #longshorttermmemorynetworks
1/5 🚀"Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation." This method enhances diffusion models for accurate trajectory prediction and control. #AI #MachineLearning #TrajectoryPrediction
Hoy nos hemos despertado con la publicación de nuestro trabajo sobre predicción de trayectorias de vuelo 🚀✈️ utilizando TFTs, uno de los resultados de la tesis de @Jorge_Silves en @EsDUVa (ieeexplore.ieee.org/document/10577…) #ADSB #TrajectoryPrediction
🔍 Exciting #research alert! 'InfoSTGCAN: An Information-Maximizing Spatial-Temporal Graph Convolutional Attention Network for Heterogeneous Human #TrajectoryPrediction' introduces a novel approach for predicting human trajectories. 🚶♂️🔮 #AI mdpi.com/2825026
🚗We're thrilled to announce the publication of "Efficient Interaction-Aware Trajectory Prediction Model Based on Multi-head Attention" by Huilin Yin et al. Access: link.springer.com/article/10.100…. #AutomotiveInnovation #TrajectoryPrediction #AutonomousVehicles #Innovation #AI 🚀
link.springer.com
Efficient Interaction-Aware Trajectory Prediction Model Based on Multi-head Attention
Automotive Innovation - Predicting vehicle trajectories using deep learning has seen substantial progress in recent years. However, making autonomous vehicles pay attention to their surrounding...
Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning mdpi.com/1424-8220/22/5… @DTUtweet #AIS #DL #TrajectoryPrediction #MDN #LSTM #MSA
SemanticFormer leverages knowledge graphs for improved trajectory prediction in autonomous driving. #AutonomousDriving #AI #TrajectoryPrediction
Explore the latest in AI research with 'Neural Interaction Energy for Multi-Agent Trajectory Prediction'. For a detailed summary, click the link: app.powerdrill.ai/s/1OOxJm #AI #TrajectoryPrediction #Research
Discover TrajectoryNAS, a cutting-edge method using neural architecture search to optimize trajectory prediction in autonomous driving. #NeuralArchitectureSearch #AutonomousDriving #TrajectoryPrediction
🛫 Aerospace MDPI New Paper 📜 Trajectory Predictor and #ConflictDetection Figures of Merit for a Performance-Based Adaptive Air Traffic Monitoring System 👉 mdpi.com/2226-4310/11/2… #trajectoryprediction #machinelearning #airtrafficmanagement #airtrafficcontrol
🔥 New blog post alert! Learn how our modular model-agnostic framework leverages a specialized mixture of experts to improve trajectory prediction, especially in long-tail scenarios. Check out the full post here: bit.ly/3I1x5Hl #trajectoryprediction #machinelearning
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