The experiments are constructed on the NGSIM dataset, and the experiments confirm that our prediction framework combined with the dual attention mechanism can achieve the leading performance in the synchronization method.doi:10.1016/j.ifacol.2021.10.204Qingyu Meng...
将轨迹预测问题拆分为机动以及基于机动的轨迹预测 Maneuver-Aware Pooling for Vehicle Trajectory Prediction——Arxiv 2021 BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving——AAAI 2024 Vehicle Trajectory Prediction Method Coupled With Ego Vehicle Motion Trend Under Dual Attention Mechan...
We evaluate BAT's performance across the Next Generation Simulation (NGSIM), Highway Drone (HighD), Roundabout Drone (RounD), and Macao Connected Autonomous Driving (MoCAD) datasets, showcasing its superiority over prevailing state-of-the-art (SOTA) benchmarks in terms of prediction accuracy ...
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START). transformerrepresentation-learningunsupervised-learningtrajectory-analysistrajectory-clusteringtrajectory-predictiontrajectory-similaritygraph-attention-networksself-supe...
We compare our approach with the prior art for vehicle motion prediction on the publicly available NGSIM US-101 and I-80 datasets. Our results show an improvement in terms of RMS values of prediction error. We also present an ablative analysis of the components of our proposed model and ...
Predicting the next location: A recurrent model with spatial and temporal contexts Hst-lstm: A hierarchical spatial-temporal long-short term memory network for location prediction Recurrent marked temporal point processes: Embedding event history to vector Pre-training context and time aware location embe...
Results: On datasets, such as Apollo and NGSIM, the proposed method has shown lower prediction error than traditional model-driven and data-driven methods, and predicted more target vehicles at the same time. It can provide a basis for vehicle path planning on highways and urban roads, and ...
travel pattern (Destination Prediction, Route Discovery..) and urban planning. A trajectory is considered as a series of points that describe a moving object’s path, i.e evolving position through time. These points can be acquired from tracking devices such as GPS beacons. The concept of ...
Characterized by its unique right-hand-drive system, MoCAD, set to be publicly available, is pivotal for research in right-hand-drive dynamics and enhancing trajectory prediction models. Our model significantly outperforms the SOTA baseline models when tested on the NGSIM, HighD, RounD, and MoCAD...
NGSIM NuScenes GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous DrivingPaperCode Multi-agent Trajectory Prediction with Fuzzy Query AttentionPaperCode Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous DataPaperCode...