Yoshiki Ninomiya — accepted AI-conference papers

2017

Autonomous predictive driving for blind intersections

Yuki Yoshihara, Yoichi Morales, Naoki Akai, Eijiro Takeuchi, Yoshiki Ninomiya

IROS 2017poster

This paper presents a model for safe driving at blind intersections and its integration to a local planner based on a Frenet frame. The model predicts potential moving obstacles from blind intersections to proactively slow down to avoid potential collisions. The derivation of the model is described…

Cited by 45 Source ↗Scholar ↗

2016

Precise and efficient model-based vehicle tracking method using Rao-Blackwellized and scaling series particle filters

Mengwen He, Eijiro Takeuchi, Yoshiki Ninomiya, Shinpei Kato

IROS 2016poster

A precise and efficient tracking technique is essential for an intelligent vehicle to interact with the surrounding vehicles on the road. In this paper, we propose a model-based vehicle tracking method using the Rao-Blackwellized particle filter (RBPF) and scaling series particle filter (SSPF).

Cited by 18 Source ↗Scholar ↗