Mahajan et al., 2023
| Publication | Publication Date | Title |
|---|---|---|
| Kim et al. | Extracting vehicle trajectories using unmanned aerial vehicles in congested traffic conditions | |
| Mahajan et al. | Treating noise and anomalies in vehicle trajectories from an experiment with a swarm of drones | |
| Fard et al. | A new methodology for vehicle trajectory reconstruction based on wavelet analysis | |
| CN114821421B (en) | A method and system for detecting abnormal traffic behavior | |
| Matarazzo et al. | Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips | |
| Oucheikh et al. | Deep real-time anomaly detection for connected autonomous vehicles | |
| Wang et al. | A traffic prediction model based on multiple factors | |
| US20170336215A1 (en) | Classifying entities in digital maps using discrete non-trace positioning data | |
| CN105989614A (en) | Dangerous object detection method fusing multi-source visual information | |
| Saha et al. | Developing a framework for vehicle detection, tracking and classification in traffic video surveillance | |
| Satzoda et al. | Drive analysis using lane semantics for data reduction in naturalistic driving studies | |
| Hu et al. | Detecting socially abnormal highway driving behaviors via recurrent graph attention networks | |
| Chetouane et al. | On the application of clustering for extracting driving scenarios from vehicle data | |
| Zou et al. | Traffic incident classification at intersections based on image sequences by HMM/SVM classifiers | |
| Gong et al. | Heterogeneous traffic flow detection using CAV-based sensor with I-GAIN | |
| Khasawneh et al. | Multilevel learning for enhanced traffic congestion prediction using anomaly detection and ensemble learning | |
| Lushan et al. | Supervising vehicle using pattern recognition: Detecting unusual behavior using machine learning algorithms | |
| Priyadharshini et al. | Vehicle data aggregation from highway video of madurai city using convolution neural network | |
| Tang et al. | Application of CNN‐LSTM Model for Vehicle Acceleration Prediction Using Car‐following Behavior Data | |
| Zhang et al. | Segmentation is tracking: Spatial-temporal map vehicle trajectory reconstruction and validation | |
| CN119903439B (en) | Multi-category unsafe driving behavior detection method, device and computer equipment | |
| Muâ et al. | Classifying Vehicle Types from Video Streams for Traffic Flow Analysis Systems | |
| Tripathi et al. | Driver activity monitoring using MobileNets | |
| Zhang et al. | Enhancing Vehicle Trajectory Quality: A Two‐Step Data Reconstruction Method Using Wavelet Transform and Normal Acceleration Value | |
| Abdelhalim | A real-time computer vision based framework for urban traffic safety assessment and driver behavior modeling using virtual traffic lanes |