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How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction

https://doi.org/10.1109/tiv.2018.2804159

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Using support vector machines for lane-change detection

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Real time trajectory prediction for collision risk estimation between vehicles

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EM-IMM based land-vehicle navigation with GPS/INS

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Continuous Driver Intention Recognition with Hidden Markov Models

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Threat assessment design for driver assistance system at intersections

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Tactical driver behavior prediction and intent inference: A review

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Towards cooperative, predictive driver assistance

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A probabilistic long term prediction approach for highway scenarios

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Surround vehicles trajectory analysis with recurrent neural networks

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Learning and predicting on-road pedestrian behavior around vehicles

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IMM object tracking for high dynamic driving maneuvers

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inferredcites →https://doi.org/10.1109/ivs.2009.5164354openalex-snapshot

Long-term vehicle motion prediction

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Probabilistic trajectory prediction with Gaussian mixture models

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Interactive scene prediction for automotive applications

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Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression

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When will it change the lane? A probabilistic regression approach for rarely occurring events

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Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety

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If, When, and How to Perform Lane Change Maneuvers on Highways

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Sensor Fusion for Predicting Vehicles' Path for Collision Avoidance Systems

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IMM-Based Lane-Change Prediction in Highways With Low-Cost GPS/INS

inferredcites →https://doi.org/10.1109/tits.2013.2252901openalex-snapshot

Cooperative Collision Avoidance at Intersections: Algorithms and Experiments

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Dynamic Probabilistic Drivability Maps for Lane Change and Merge Driver Assistance

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Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays

inferredcites →https://doi.org/10.1109/tiv.2019.2938110openalex-snapshot

No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs

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Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach

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Growing Hidden Markov Models: An Incremental Tool for Learning and Predicting Human and Vehicle Motion

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A Bayesian Nonparametric Approach to Modeling Mobility Patterns

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A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment

inferredcites →https://doi.org/10.48550/arxiv.1802.08755openalex-snapshot

No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs

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KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction

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Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance

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Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios

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Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion

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SE-STDGNN: A Self-Evolving Spatial-Temporal Directed Graph Neural Network for Multi-Vehicle Trajectory Prediction

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Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills

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SIA-Net: Scalable Interaction-Aware Network for Vehicle Trajectory Prediction Based on Self-Attention

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Prediction of a Road User's Most Likely Future Positions via Simple Kernel Density Estimation

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Sequential Intention-driven Vehicle Trajectory Prediction Integrated with Spatial-Temporal Features

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GISNet:Graph-Based Information Sharing Network For Vehicle Trajectory Prediction

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Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network

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Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study

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UAV Based Real-Time Implementation of Vehicle Trajectory Tracking Systems

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NIAR: Interaction-aware Maneuver Prediction using Graph Neural Networks and Recurrent Neural Networks for Autonomous Driving

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Visual Vehicle Tracking Through Noise and Occlusions Using Crowd-Sourced Maps

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Unsupervised Traffic Accident Detection in First-Person Videos

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Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context

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UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving

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LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

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Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/iros55552.2023.10341449openalex-snapshot

Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills

inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802142openalex-snapshot

Multi-agent Traffic Prediction via Denoised Endpoint Distribution

inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802505openalex-snapshot

Improving behavior profile discovery for vehicles

inferred← citeshttps://doi.org/10.1109/itsc.2019.8916887openalex-snapshot

Relational Recurrent Neural Networks For Vehicle Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917228openalex-snapshot

GRIP: Graph-based Interaction-aware Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917370openalex-snapshot

Predicting Time-Series Trajectories of Human Driven Vehicles, using an Unsupervised Attention-Based Recurrent Neural Network

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917450openalex-snapshot

Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917516openalex-snapshot

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field

inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294189openalex-snapshot

Two-stream neural architecture for unsafe maneuvers classification from dashcam videos and GPS/IMU sensors

inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294553openalex-snapshot

Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps

inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564547openalex-snapshot

Multi-Step Training for Predicting Roundabout Traffic Situations

inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564909openalex-snapshot

SAFE-STOP System: Tactical Intention Awareness Based Emergency Collision Avoidance for Malicious Cut-in of Surrounding Vehicle

inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564948openalex-snapshot

Vehicle Behavior Prediction and Generalization Using Imbalanced Learning Techniques

inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564986openalex-snapshot

Design of Longitudinal Control for Autonomous Vehicles based on Interactive Intention Inference of Surrounding Vehicle Behavior Using Long Short-Term Memory

inferred← citeshttps://doi.org/10.1109/itsc55140.2022.9922135openalex-snapshot

Two-stream LSTM Network with Hybrid Attention for Vehicle Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/itsc55140.2022.9922397openalex-snapshot

MMTP: Multi-Modal Trajectory Prediction with Interaction Attention and Adaptive Task Weighting

inferred← citeshttps://doi.org/10.1109/itsc55140.2022.9922432openalex-snapshot

MultiLane: Lane Intention Prediction and Sensible Lane-Oriented Trajectory Forecasting on Centerline Graphs

inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10421928openalex-snapshot

Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10422444openalex-snapshot

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems

inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10422609openalex-snapshot

STAdi-DMPC: A Trajectory Prediction Based Longitudinal Control of Connected and Automated Truck Platoon for Mixed Traffic Flow

inferred← citeshttps://doi.org/10.1109/itsc60802.2025.11423243openalex-snapshot

Structured Motion Prediction with Efficient Spatial-Temporal Graph Attention for Autonomous Racing

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Overcoming Communication Time Delay in V2V Collaborative Perception

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Interaction-aware Kalman Neural Networks for Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/iv47402.2020.9304772openalex-snapshot

A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN

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Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform

inferred← citeshttps://doi.org/10.1109/iv51971.2022.9827058openalex-snapshot

An enhanced driver’s risk perception modeling based on gate recurrent unit network

inferred← citeshttps://doi.org/10.1109/iv51971.2022.9827069openalex-snapshot

Interaction-aware Trajectory Prediction of Surrounding Vehicles based on Hierarchical Framework in Highway Scenarios

inferred← citeshttps://doi.org/10.1109/iv51971.2022.9827070openalex-snapshot

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

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Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations

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GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction

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Validation of a POMDP Framework for Interaction-aware Trajectory Prediction in Vehicle Safety

inferred← citeshttps://doi.org/10.1109/ivs.2018.8500493openalex-snapshot

Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs

inferred← citeshttps://doi.org/10.1109/ivs.2018.8500604openalex-snapshot

Predicting trajectories of vehicles using large-scale motion priors

inferred← citeshttps://doi.org/10.1109/ivs.2019.8813829openalex-snapshot

Non-local Social Pooling for Vehicle Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/ivs.2019.8814071openalex-snapshot

3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams

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A Cooperative Driving Strategy Based on Velocity Prediction for Connected Vehicles With Robust Path-Following Control

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GSAN: Graph Self-Attention Network for Learning Spatial–Temporal Interaction Representation in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/jiot.2024.3479221openalex-snapshot

Vehicular Speed Prediction Method for Highway Scenarios Based on Spatiotemporal Graph Convolutional Networks and Potential Field Theory

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Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction With Blockchain

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MLB-Traj: Map-Free Trajectory Prediction With Local Behavior Query for Autonomous Driving

inferred← citeshttps://doi.org/10.1109/jiot.2025.3600493openalex-snapshot

Vehicle Trajectory Prediction Based on Driver’s Cognitive Mechanism

inferred← citeshttps://doi.org/10.1109/jiot.2025.3642400openalex-snapshot

Joint Spatiotemporal-Frequency-Aware Feature Fusion for Vehicle Trajectory Prediction

inferred← citeshttps://doi.org/10.1109/jproc.2025.3570483openalex-snapshot

No More Traffic Tickets: A Tutorial to Ensure Traffic-Rule Compliance of Automated Vehicles

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A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior

inferred← citeshttps://doi.org/10.1109/jsen.2022.3146307openalex-snapshot

Learning Automated Driving in Complex Intersection Scenarios Based on Camera Sensors: A Deep Reinforcement Learning Approach

inferred← citeshttps://doi.org/10.1109/jsen.2025.3578830openalex-snapshot

Distance- and Azimuth-Aware Interaction Modeling for Trajectory Prediction in Unstructured Environments

inferred← citeshttps://doi.org/10.1109/jsen.2026.3670964openalex-snapshot

Social Interaction-Aware Motion Prediction of Surrounding Vehicles Based on Edge-Pruned Graph Convolutional Network for Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/lra.2020.3009068openalex-snapshot

Low Latency Trajectory Predictions for Interaction Aware Highway Driving

inferred← citeshttps://doi.org/10.1109/lra.2021.3094491openalex-snapshot

A Kinematic Model for Trajectory Prediction in General Highway Scenarios

inferred← citeshttps://doi.org/10.1109/lra.2021.3098066openalex-snapshot

LaneAF: Robust Multi-Lane Detection With Affinity Fields

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A Novel Pet Trajectory Prediction Method for Intelligent Plant Cultivation Robot

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GSAN: Graph Self-Attention Network for Interaction Measurement in Autonomous Driving

inferred← citeshttps://doi.org/10.1109/mass62177.2024.00059openalex-snapshot

Cooperative Trajectory Prediction Using IVC and Accuracy-Aware Attention with Inaccurate GPS Data

inferred← citeshttps://doi.org/10.1109/msn57253.2022.00106openalex-snapshot

Real-time Simulation and Testing of a Neural Network-based Autonomous Vehicle Trajectory Prediction Model

inferred← citeshttps://doi.org/10.1109/msp.2020.2973615openalex-snapshot

Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems

inferred← citeshttps://doi.org/10.1109/nnice61279.2024.10498408openalex-snapshot

Trajectory Prediction Based on Spatio-Temporal Fusion Graph Neural Networks

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RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction

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MTPI: Multimodal Trajectory Prediction for Autonomous Driving via Informer

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Autonomous Vehicle Trajectory Prediction on Multi-Lane Highways Using Attention Based Model

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Trajectory Prediction based on Constraints of Vehicle Kinematics and Social Interaction

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Neural Network Predicting Remote Vehicle Movement with Vehicle-to-Vehicle Data

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A Lane Changing Model Based on Imitation Learning and Gaussian Velocity Fields

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Adaptive Multi-Agent Trajectory Prediction via Transferable Multi-Motion-Property Attention Network

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