Driver-Specific Risk Recognition in Interactive Driving Scenarios Using Graph Representation

The association between crashes and safety-critical events: Synthesized evidence from crash reports and naturalistic driving data among commercial truck drivers

(2021) Miao Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)

(2021) Farzana Anowar et al.   Computer Science Review

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features

(2021) Xiao Li et al.   IEEE Robotics and Automation Letters

An integrated methodology for real-time driving risk status prediction using naturalistic driving data

(2021) Qiangqiang Shangguan et al.   ACCIDENT ANALYSIS AND PREVENTION

Lane Graph Estimation for Scene Understanding in Urban Driving

(2021) Jannik Zurn et al.   IEEE Robotics and Automation Letters

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction

(2021) Maosen Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking

(2021) Jiachen Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Abnormal Driving Detection With Normalized Driving Behavior Data: A Deep Learning Approach

(2020) Jie Hu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A probabilistic risk assessment framework considering lane-changing behavior interaction

(2020) Heye Huang et al.   Science China-Information Sciences

Combined Hierarchical Learning Framework for Personalized Automatic Lane-Changing

(2020) Bing Zhu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

(2019) Yang Xing et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Heterogeneous graph-based joint representation learning for users and POIs in location-based social network

(2019) Yaqiong Qiao et al.   INFORMATION PROCESSING & MANAGEMENT

Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic

(2018)   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Personalized Lane-Change Assistance System with Driver Behavior Identification

(2018) Bing Zhu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Near Crashes as Crash Surrogate for Naturalistic Driving Studies

(2010) Feng Guo et al.   TRANSPORTATION RESEARCH RECORD