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Eijiro Takeuchi

3 accepted papers

2019

Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks

ICRA 2019poster

The use of 3D LiDAR, which has proven its capabilities in autonomous driving systems, is now expanding into many other fields. The sharing and transmission of point cloud data from 3D LiDAR sensors has broad application prospects in robotics. However, due to the sparseness and disorderly nature of t…

Cited by 111SourceScholar
2017

Autonomous predictive driving for blind intersections

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 45SourceScholar
2016

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

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 18SourceScholar