ReviewSensors (Basel, Switzerland)2019
A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research.
Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed.
- Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations.Sensors (Basel, Switzerland) · 2026Review
- Integrated LiDAR-Based Localization Correction Using a Dedicated Support Sign for Autonomous Vehicles.Sensors (Basel, Switzerland) · 2026Article
- Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges.Sensors (Basel, Switzerland) · 2026Review
- Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization.Sensors (Basel, Switzerland) · 2026Article
- Optical-Structural Optimization for Condensation Suppression in Automotive Camera Modules.Sensors (Basel, Switzerland) · 2025Article
- Normalizing images in various weather and lighting conditions using ColorPix2Pix generative adversarial network.Scientific reports · 2025Article
- An Approach to Modeling and Developing Virtual Sensors Used in the Simulation of Autonomous Vehicles.Sensors (Basel, Switzerland) · 2025Review
- Effects of Dust and Moisture Surface Contaminants on Automotive Radar Sensor Frequencies.Sensors (Basel, Switzerland) · 2025Article
- Plant stress detection using multimodal imaging and machine learning: from leaf spectra to smartphone applications.Frontiers in plant science · 2025Article
- Sensor Fusion Method for Object Detection and Distance Estimation in Assisted Driving Applications.Sensors (Basel, Switzerland) · 2024Article
- Realistic 3D Simulators for Automotive: A Review of Main Applications and Features.Sensors (Basel, Switzerland) · 2024Review
- A Survey on Sensor Failures in Autonomous Vehicles: Challenges and Solutions.Sensors (Basel, Switzerland) · 2024Review
- Improved DeepSORT-Based Object Tracking in Foggy Weather for AVs Using Sematic Labels and Fused Appearance Feature Network.Sensors (Basel, Switzerland) · 2024Article
- A virtual reality experiment to study pedestrian perception of future street scenarios.Scientific reports · 2024Article
- An Effective GNSS/PDR Fusion Positioning Algorithm on Smartphones for Challenging Scenarios.Sensors (Basel, Switzerland) · 2024Article
- Leveraging LiDAR-Based Simulations to Quantify the Complexity of the Static Environment for Autonomous Vehicles in Rural Settings.Sensors (Basel, Switzerland) · 2024Article
- Real-time path planning for autonomous vehicle off-road driving.PeerJ. Computer science · 2024Article
- SLAV-Sim: A Framework for Self-Learning Autonomous Vehicle Simulation.Sensors (Basel, Switzerland) · 2023Article
- Control Architecture for Connected Vehicle Platoons: From Sensor Data to Controller Design Using Vehicle-to-Everything Communication.Sensors (Basel, Switzerland) · 2023Article
- Implementation of a Bio-Inspired Neural Architecture for Autonomous Vehicles on a Multi-FPGA Platform.Sensors (Basel, Switzerland) · 2023Article
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.
Funding
Abstract
This paper presents a systematic review of the perception systems and simulators for autonomous vehicles (AV). This work has been divided into three parts. In the first part, perception systems are categorized as environment perception systems and positioning estimation systems. The paper presents the physical fundamentals, principle functioning, and electromagnetic spectrum used to operate the most common sensors used in perception systems (ultrasonic, RADAR, LiDAR, cameras, IMU, GNSS, RTK, etc.). Furthermore, their strengths and weaknesses are shown, and the quantification of their features using spider charts will allow proper selection of different sensors depending on 11 features. In the second part, the main elements to be taken into account in the simulation of a perception system of an AV are presented. For this purpose, the paper describes simulators for model-based development, the main game engines that can be used for simulation, simulators from the robotics field, and lastly simulators used specifically for AV. Finally, the current state of regulations that are being applied in different countries around the world on issues concerning the implementation of autonomous vehicles is presented.
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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.