ArticleSensors (Basel, Switzerland)2023
Empirical Analysis of Autonomous Vehicle's LiDAR Detection Performance Degradation for Actual Road Driving in Rain and Fog.
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 11 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.
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Who cites it
11 citing papers in PubMed, 52 citations in OpenAlex.
- Impact of UK Weather on Autonomous Vehicle Radar, LiDAR and Camera Vision Systems.Sensors (Basel, Switzerland) · 2026Article
- Integrated LiDAR-Based Localization Correction Using a Dedicated Support Sign for Autonomous Vehicles.Sensors (Basel, Switzerland) · 2026Article
- A Sensor-Centric Survey of Autonomous Driving: Integrating Measurement Physics, Uncertainty Modeling, and Safety-Critical Multi-Sensor Fusion.Sensors (Basel, Switzerland) · 2026Review
- Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges.Sensors (Basel, Switzerland) · 2026Review
- Bounded Graph Conditioning for LiDAR 3D Object Detection Under Sensor Degradation.Sensors (Basel, Switzerland) · 2026Article
- Precipitation-aware sensor ecosystem modelling for performance-driven autonomous vehicle navigation.Scientific reports · 2026Article
- Electrostatically actuated MEMS resonators for magnetic and electric field sensing: a review.Microsystems & nanoengineering · 2026Review
- Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy.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
- Revolutionizing RIS Networks: LiDAR-Based Data-Driven Approach to Enhance RIS Beamforming.Sensors (Basel, Switzerland) · 2024Article
- Improving Autonomous Vehicle Perception through Evaluating LiDAR Capabilities and Handheld Retroreflectivity Assessments.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Light detection and ranging (LiDAR) is widely used in autonomous vehicles to obtain precise 3D information about surrounding road environments. However, under bad weather conditions, such as rain, snow, and fog, LiDAR-detection performance is reduced. This effect has hardly been verified in actual road environments. In this study, tests were conducted with different precipitation levels (10, 20, 30, and 40 mm/h) and fog visibilities (50, 100, and 150 m) on actual roads. Square test objects (60 × 60 cm
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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.