Risto Ojala

Multi-Observer Vehicle Localization Case Study with Roadside Radar and Connected Vehicle Sensing

Findings indicate that decision-level fusion provides scenario-dependent benefits rather than automatic improvement over a strong single-sensor baseline, and AEKF achieves small gains over the LiDAR-only baseline, and object-level connected vehicle observations remain useful when shared at reduced update rates.