Research papers · Posted 2026.06.10 · Preprint
From Nominal Intensity to Equivalent Rainfall: A Path-Based Credibility Evaluation Framework for Simulated Rainfall in Autonomous-Driving Perception Tests
From Nominal Intensity to Equivalent Rainfall: A Path-Based Credibility Evaluation Framework for Simulated Rainfall in Autonomous-Driving Perception Tests
Overview
The study evaluates simulated rainfall along test paths using raindrop distributions, equivalent intensity and LiDAR responses. It addresses spatial nonuniformity and supports credible interpretation of perception tests under rain.
Author-supplied source information
Author-supplied information on arXiv.
17 pages, preprint
Version: v1