Simon Thompson — accepted AI-conference papers

2025

Multi-PrefDrive: Optimizing Large Language Models for Autonomous Driving Through Multi-Preference Tuning

Yun Li, Ehsan Javanmardi, Simon Thompson, Kai Katsumata, Alex Orsholits, Manabu Tsukada

IROS 2025

This paper introduces Multi-PrefDrive, a framework that significantly enhances LLM-based autonomous driving through multidimensional preference tuning. Aligning LLMs with human driving preferences is crucial yet challenging, as driving scenarios involve complex decisions where multiple incorrect act

Cited by 1 Source ↗code ↗Scholar ↗

2019

VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points

Masashi Yokozuka, Shuji Oishi, Simon Thompson, Atsuhiko Banno

CVPR 2019poster

In this paper, we propose a novel indirect monocular simultaneous localization and mapping (SLAM) algorithm called "VITAMIN-E," which is highly accurate and robust as a result of tracking extremely dense feature points. Typical indirect methods have difficulty in reconstructing dense geometry becaus…

Cited by 39 PDF ↗Scholar ↗