Yoshiki Ninomiya
Aerospace Engineering · 2015–2018
A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 27 citations into it; #3,082 of 6,421 by trust here, #2,656 by citations
- Computer Vision and Pattern Recognition — 26 citations into it; #13,554 of 21,575 by trust here, #12,419 by citations
- Automotive Engineering — 12 citations into it; #1,363 of 3,081 by trust here, #1,636 by citations
- Electrical and Electronic Engineering — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Geology — 6 citations into it
Whom Yoshiki Ninomiya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- Sayanan Sivaraman
- Eijiro Takeuchi
- Michael Montemerlo
- Peter Biber
- Martin Magnusson
- Mohan Manubhai Trivedi
- Xue Mei
- Anna Petrovskaya
Who trusts Yoshiki Ninomiya overall
Papers from Yoshiki Ninomiya's perspective
Ordered by how strongly the researchers Yoshiki Ninomiya trusts endorse each paper. Same corpus, a different order for every researcher.
- Histograms of oriented gradients for human detection
- Object Detection with Discriminatively Trained Part Based Models
- Sequential Monte Carlo Methods in Practice
- Junior: The Stanford entry in the Urban Challenge
- A Probabilistic On-Line Mapping Algorithm for Teams of Mobile Robots (Int. J. Robotics Res.)
- Robust vehicle localization in urban environments using probabilistic maps
- Robust Visual Tracking and Vehicle Classification via Sparse Representation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks (Conference on Uncertainty in Artificial Intelligence)
- FastSLAM 2.0: an improved particle filtering algorithm for simultaneous localization and mapping that provably converges (International Joint Conference on Artificial Intelligence)
- A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking (IEEE transactions on intelligent transportation systems (Print))
Their papers
- A Slope-robust Cascaded Ground Segmentation in 3D Point Cloud for Autonomous Vehicles (2018) — 88 citations
- Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments (2017) — 74 citations
- Robust localization using 3D NDT scan matching with experimentally determined uncertainty and road marker matching (2017) — 101 citations
- Autonomous driving based on accurate localization using multilayer LiDAR and dead reckoning (2017) — 69 citations
- Precise and efficient model-based vehicle tracking method using Rao-Blackwellized and scaling series particle filters (2016) — 13 citations
- An Open Approach to Autonomous Vehicles (2015) — 492 citations