Research papers · 2026
Uncertainty Representation in a SOTIF-Related Use Case with Dempster-Shafer Theory for LiDAR Sensor-Based Object Detection
Uncertainty Representation in a SOTIF-Related Use Case with Dempster-Shafer Theory for LiDAR Sensor-Based Object Detection
Overview
The paper represents LiDAR detection uncertainties using Dempster-Shafer evidence and Yager’s combination rule. Conditional assignments capture dependencies, while variance-based sensitivity analysis prioritizes uncertainty sources within a SOTIF-related scenario.
Author-supplied source information
Author-supplied information on arXiv.
submitted as extended paper of Vehicle Technology and Intelligent Transport Systems (VEHITS)2024 conference and will be published by Springer in a CCIS Series book later in 2025
Version: arXiv v1 — manuscript revision