How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction
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Abstract (arXiv)
Reliable prediction of surround vehicle motion is a critical requirement for path planning for autonomous vehicles. In this paper we propose a unified framework for surround vehicle maneuver classification and motion prediction that exploits multiple cues, namely, the estimated motion of vehicles, an understanding of typical motion patterns of freeway traffic and inter-vehicle interaction. We report our results in terms of maneuver classification accuracy and mean and median absolute error of predicted trajectories against the ground truth for real traffic data collected using vehicle mounted sensors on freeways. An ablative analysis is performed to analyze the relative importance of each cue for trajectory prediction. Additionally, an analysis of execution time for the components of the framework is presented. Finally, we present multiple case studies analyzing the outputs of our model for complex traffic scenarios
Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jan 2018.
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Citing papers per year: 2020: 1; 2021: 16; 2022: 8; 2023: 11; 2024: 6; 2025: 3; 2026: 1.
46 papers.
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- 2021LaneRCNN: Distributed Representations for Graph-Centric Motion Forecastingcited by 112
- 2021Trajectory Prediction with Latent Belief Energy-Based Modelcited by 60
- 2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actorscited by 48
- 2020Modeling Human Driving Behavior through Generative Adversarial Imitation Learningcited by 43
- 2021LaneAF: Robust Multi-Lane Detection with Affinity Fieldscited by 41
- 2021Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Drivingcited by 36
- 2023Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priorscited by 36
- 2021Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Trackingcited by 35
- 2024Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Setscited by 25
- 2023Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directionscited by 23
- 2021TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Trackingcited by 21
- 2021Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidancecited by 21
34 more
- 2022Transferable and Adaptable Driving Behavior Predictioncited by 20
- 2021MSN: Multi-Style Network for Trajectory Predictioncited by 19
- 2022CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spacescited by 18
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directionscited by 14
- 2023Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skillscited by 13
- 2021Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Predictioncited by 12
- 2022Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skillscited by 12
- 2022KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Predictioncited by 11
- 2023EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Predictioncited by 10
- 2022Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehiclescited by 8
- 2023Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Predictioncited by 8
- 2021Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniquescited by 7
- 2021Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Predictioncited by 6
- 2022Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networkscited by 5
- 2021Hierarchical Motion Encoder-Decoder Network for Trajectory Forecastingcited by 4
- 2022Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planningcited by 4
- 2023PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systemscited by 4
- 2024GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Predictioncited by 3
- 2024Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehiclescited by 3
- 2025Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Surveycited by 3
- 2021A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNNcited by 2
- 2023A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Predictioncited by 2
- 2023Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networkscited by 2
- 2021Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Networkcited by 1
- 2023Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metricscited by 1
- 2023CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theorycited by 1
- 2024MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integrationcited by 1
- 2021A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehiclecited by 0
- 2022Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networkscited by 0
- 2023Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluationscited by 0
- 2024Multi-agent Traffic Prediction via Denoised Endpoint Distributioncited by 0
- 2024Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchaincited by 0
- 2025EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Drivingcited by 0
- 2026A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehiclescited by 0
- 2026A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles2 Jul 2026
- 2025Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey11 Sep 2025
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions5 Mar 2025
- 2025EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving26 Feb 2025
- 2024Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles25 Sep 2024
- 2024MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration31 Jul 2024
- 2024Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain28 Jul 2024
- 2024Multi-agent Traffic Prediction via Denoised Endpoint Distribution11 May 2024
- 2024GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction9 Apr 2024
- 2024Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets11 Feb 2024
- 2023Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction26 Dec 2023
- 2023CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theory14 Nov 2023
34 more
- 2023Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills24 Sep 2023
- 2023Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks14 Aug 2023
- 2023PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems1 Aug 2023
- 2023Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations27 Jul 2023
- 2023Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics26 Jul 2023
- 2023Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions12 Jul 2023
- 2023Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors8 May 2023
- 2023EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction29 Mar 2023
- 2023A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction22 Mar 2023
- 2022Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks13 Oct 2022
- 2022Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills24 Sep 2022
- 2022Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles17 Jun 2022
- 2022KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction10 May 2022
- 2022Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planning21 Apr 2022
- 2022Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks21 Mar 2022
- 2022CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces17 Feb 2022
- 2022Transferable and Adaptable Driving Behavior Prediction10 Feb 2022
- 2021Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction9 Dec 2021
- 2021Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting26 Nov 2021
- 2021Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving27 Sep 2021
- 2021Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques22 Sep 2021
- 2021Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction12 Aug 2021
- 2021MSN: Multi-Style Network for Trajectory Prediction2 Jul 2021
- 2021A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle2 May 2021
- 2021Trajectory Prediction with Latent Belief Energy-Based Model7 Apr 2021
- 2021Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance26 Mar 2021
- 2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors23 Mar 2021
- 2021LaneAF: Robust Multi-Lane Detection with Affinity Fields22 Mar 2021
- 2021A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN1 Mar 2021
- 2021Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network24 Feb 2021
- 2021Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking18 Feb 2021
- 2021LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting17 Jan 2021
- 2021TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking11 Jan 2021
- 2020Modeling Human Driving Behavior through Generative Adversarial Imitation Learning10 Jun 2020
- 2023Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priorscited by 36
- 2023Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directionscited by 23
- 2023Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skillscited by 13
- 2022Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skillscited by 12
- 2022Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planningcited by 4
- 2025Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Surveycited by 3
- 2025Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey11 Sep 2025
- 2023Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills24 Sep 2023
- 2023Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions12 Jul 2023
- 2023Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors8 May 2023
- 2022Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills24 Sep 2022
- 2022Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planning21 Apr 2022
- 2021LaneRCNN: Distributed Representations for Graph-Centric Motion Forecastingcited by 112
- 2021Trajectory Prediction with Latent Belief Energy-Based Modelcited by 60
- 2021On Exposing the Challenging Long Tail in Future Prediction of Traffic Actorscited by 48
- 2021LaneAF: Robust Multi-Lane Detection with Affinity Fieldscited by 41
- 2021Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Drivingcited by 36
- 2021Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Trackingcited by 35
- 2024Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Setscited by 25
- 2021TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Trackingcited by 21
- 2021Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidancecited by 21
- 2022Transferable and Adaptable Driving Behavior Predictioncited by 20
- 2021MSN: Multi-Style Network for Trajectory Predictioncited by 19
- 2022CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spacescited by 18
12 most cited of 39 All 39 (JSON)
- 2026A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles2 Jul 2026
- 2025Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions5 Mar 2025
- 2025EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving26 Feb 2025
- 2024Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles25 Sep 2024
- 2024MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration31 Jul 2024
- 2024Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain28 Jul 2024
- 2024Multi-agent Traffic Prediction via Denoised Endpoint Distribution11 May 2024
- 2024GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction9 Apr 2024
- 2024Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets11 Feb 2024
- 2023Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction26 Dec 2023
- 2023CPSOR-GCN: A Vehicle Trajectory Prediction Method Powered by Emotion and Cognitive Theory14 Nov 2023
- 2023Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks14 Aug 2023
12 newest of 39 All 39 (JSON)