ArticleSensors (Basel, Switzerland)2023
Sensor Fusion in Autonomous Vehicle with Traffic Surveillance Camera System: Detection, Localization, and AI Networking.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 72 citations in OpenAlex.
- Camera-GPS Sensor Fusion for Kinematic Characterization, Microsimulation Validation, and Macroscopic Capacity Modeling of Traffic-Calming Corridors.Sensors (Basel, Switzerland) · 2026Article
- Integration of Multi-Sensor Fusion and Decision-Making Architecture for Autonomous Vehicles in Multi-Object Traffic Conditions.Sensors (Basel, Switzerland) · 2025Article
- Real time road scene classification and enhancement for driver assistance under adverse weather.Scientific reports · 2025Article
- DORIE: Dataset of Road Infrastructure Elements-A Benchmark of YOLO Architectures for Real-Time Patrol Vehicle Monitoring.Sensors (Basel, Switzerland) · 2025Article
- An Overview of Autonomous Parking Systems: Strategies, Challenges, and Future Directions.Sensors (Basel, Switzerland) · 2025Review
- Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles.Sensors (Basel, Switzerland) · 2025Review
- Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks.Scientific reports · 2024Article
- Research on Digital Terrain Construction Based on IMU and LiDAR Fusion Perception.Sensors (Basel, Switzerland) · 2024Article
- A Roadside Precision Monocular Measurement Technology for Vehicle-to-Everything (V2X).Sensors (Basel, Switzerland) · 2024Article
- The Application of GPS-Based Friend/Foe Localization and Identification to Enhance Security in Restricted Areas.Sensors (Basel, Switzerland) · 2024Article
- A Survey on Sensor Failures in Autonomous Vehicles: Challenges and Solutions.Sensors (Basel, Switzerland) · 2024Review
- Multi-Directional Long-Term Recurrent Convolutional Network for Road Situation Recognition.Sensors (Basel, Switzerland) · 2024Article
- Optimal Distributed Finite-Time Fusion Method for Multi-Sensor Networks under Dynamic Communication Weight.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Complete autonomous systems such as self-driving cars to ensure the high reliability and safety of humans need the most efficient combination of four-dimensional (4D) detection, exact localization, and artificial intelligent (AI) networking to establish a fully automated smart transportation system. At present, multiple integrated sensors such as light detection and ranging (LiDAR), radio detection and ranging (RADAR), and car cameras are frequently used for object detection and localization in the conventional autonomous transportation system. Moreover, the global positioning system (GPS) is used for the positioning of autonomous vehicles (AV). These individual systems' detection, localization, and positioning efficiency are insufficient for AV systems. In addition, they do not have any reliable networking system for self-driving cars carrying us and goods on the road. Although the sensor fusion technology of car sensors came up with good efficiency for detection and location, the proposed convolutional neural networking approach will assist to achieve a higher accuracy of 4D detection, precise localization, and real-time positioning. Moreover, this work will establish a strong AI network for AV far monitoring and data transmission systems. The proposed networking system efficiency remains the same on under-sky highways as well in various tunnel roads where GPS does not work properly. For the first time, modified traffic surveillance cameras have been exploited in this conceptual paper as an external image source for AV and anchor sensing nodes to complete AI networking transportation systems. This work approaches a model that solves AVs' fundamental detection, localization, positioning, and networking challenges with advanced image processing, sensor fusion, feathers matching, and AI networking technology. This paper also provides an experienced AI driver concept for a smart transportation system with deep learning technology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.