SynthesisSensors (Basel, Switzerland)2022
Application of Laser Systems for Detection and Ranging in the Modern Road Transportation and Maritime Sector.
Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 70 citations in OpenAlex.
- A Hybrid Frequency Estimation Framework for Long-Range FMCW LiDAR Under Low-SNR Conditions.Sensors (Basel, Switzerland) · 2026Article
- Method for detecting rough road index using iot sensor fusion and v2v interaction for efficient road infrastructure management.MethodsX · 2025Article
- An Overview of Autonomous Parking Systems: Strategies, Challenges, and Future Directions.Sensors (Basel, Switzerland) · 2025Review
- Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks.Scientific reports · 2024Article
- Article
- Rapid Geometric Evaluation of Transportation Infrastructure Based on a Proposed Low-Cost Portable Mobile Laser Scanning System.Sensors (Basel, Switzerland) · 2024Article
- Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication.Sensors (Basel, Switzerland) · 2023Article
- Extracting Traffic Signage by Combining Point Clouds and Images.Sensors (Basel, Switzerland) · 2023Article
- A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors.Sensors (Basel, Switzerland) · 2023Review
- Navigation of Ships in Channel Bends under Special Conditions Using Sensors Systems.Sensors (Basel, Switzerland) · 2022Article
- A Self-Learning Mechanism-Based Approach to Helicopter Entry and Departure Recognition.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The development of light detection and ranging (lidar) technology began in the 1960s, following the invention of the laser, which represents the central component of this system, integrating laser scanning with an inertial measurement unit (IMU) and Global Positioning System (GPS). Lidar technology is spreading to many different areas of application, from those in autonomous vehicles for road detection and object recognition, to those in the maritime sector, including object detection for autonomous navigation, monitoring ocean ecosystems, mapping coastal areas, and other diverse applications. This paper presents lidar system technology and reviews its application in the modern road transportation and maritime sector. Some of the better-known lidar systems for practical applications, on which current commercial models are based, are presented, and their advantages and disadvantages are described and analyzed. Moreover, current challenges and future trends of application are discussed. This paper also provides a systematic review of recent scientific research on the application of lidar system technology and the corresponding computational algorithms for data analysis, mainly focusing on deep learning algorithms, in the modern road transportation and maritime sector, based on an extensive analysis of the available scientific literature.
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What OpenQuestion holds
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.