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Hiroshi Murase
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Publications
- 2022
- [j62]Naoki Akai, Yasuhiro Akagi, Takatsugu Hirayama, Takayuki Morikawa, Hiroshi Murase:
Detection of Localization Failures Using Markov Random Fields With Fully Connected Latent Variables for Safe LiDAR-Based Automated Driving. IEEE Trans. Intell. Transp. Syst. 23(10): 17130-17142 (2022) - [c198]Naoki Akai, Shota Matsubayashi, Kazuhisa Miwa, Takatsugu Hirayama, Hiroshi Murase:
Navigation Style Classification Using Persistent Homology. SII 2022: 161-164 - 2021
- [j59]Naoki Akai, Takatsugu Hirayama, Hiroshi Murase:
Experimental stability analysis of neural networks in classification problems with confidence sets for persistence diagrams. Neural Networks 143: 42-51 (2021) - [c196]Naoki Akai, Takatsugu Hirayama, Hiroshi Murase:
Persistent Homology in LiDAR-Based Ego-Vehicle Localization. IV 2021: 889-896 - 2020
- [j54]Naoki Akai, Takatsugu Hirayama, Hiroshi Murase:
Semantic Localization Considering Uncertainty of Object Recognition. IEEE Robotics Autom. Lett. 5(3): 4384-4391 (2020) - [c190]Naoki Akai, Takatsugu Hirayama, Hiroshi Murase:
Hybrid Localization using Model- and Learning-Based Methods: Fusion of Monte Carlo and E2E Localizations via Importance Sampling. ICRA 2020: 6469-6475 - [c188]Yamato Maekawa, Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase:
Modeling Eye-Gaze Behavior of Electric Wheelchair Drivers via Inverse Reinforcement Learning. ITSC 2020: 1-7 - [c187]Hao Cheng, Hailong Liu, Fumito Shinmura, Naoki Akai, Hiroshi Murase, Takatsugu Hirayama:
Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection. IV 2020: 912-918 - [c186]Naoki Akai, Takatsugu Hirayama, Hiroshi Murase:
3D Monte Carlo Localization with Efficient Distance Field Representation for Automated Driving in Dynamic Environments. IV 2020: 1859-1866 - 2019
- [j50]Naoki Akai, Luis Yoichi Morales, Takatsugu Hirayama, Hiroshi Murase:
Misalignment Recognition Using Markov Random Fields With Fully Connected Latent Variables for Detecting Localization Failures. IEEE Robotics Autom. Lett. 4(4): 3955-3962 (2019) - [c177]Yamato Maekawa, Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase:
An Analysis of How Driver Experience Affects Eye-Gaze Behavior for Robotic Wheelchair Operation. ICCV Workshops 2019: 4443-4451 - [c176]Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase:
Safety Criteria Analysis for Negotiating Blind Corners in Personal Mobility Vehicles Based on Driver's Attention Simulation on 3D Map. ITSC 2019: 2367-2374 - [c175]Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Yasuhiro Akagi, Hailong Liu, Hiroshi Murase:
Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization. IV 2019: 949-956 - 2018
- [j49]Naoki Akai, Luis Yoichi Morales Saiki, Hiroshi Murase:
Simultaneous pose and reliability estimation using convolutional neural network and Rao-Blackwellized particle filter. Adv. Robotics 32(17): 930-944 (2018) - [j46]Naoki Akai, Luis Yoichi Morales, Hiroshi Murase:
Teaching-Playback Navigation Without a Consistent Map. J. Robotics Mechatronics 30(4): 591-597 (2018) - [c169]Naoki Akai, Luis Yoichi Morales, Hiroshi Murase:
Mobile Robot Localization Considering Class of Sensor Observations. IROS 2018: 3159-3166 - [c168]Yoichi Morales, Naoki Akai, Hiroshi Murase:
Personal Mobility Vehicle Autonomous Navigation Through Pedestrian Flow: A Data Driven Approach for Parameter Extraction. IROS 2018: 3438-3444 - [c166]Luis Yoichi Morales Saiki, Naoki Akai, Yuki Yoshihara, Hiroshi Murase:
Towards Predictive Driving through Blind Intersections. ITSC 2018: 716-722 - [c164]Naoki Akai, Luis Yoichi Morales, Takatsugu Hirayama, Hiroshi Murase:
Toward Localization-Based Automated Driving in Highly Dynamic Environments: Comparison and Discussion of Observation Models. ITSC 2018: 2215-2222 - [c160]Naoki Akai, Luis Yoichi Morales Saiki, Hiroshi Murase:
Reliability Estimation of Vehicle Localization Result. Intelligent Vehicles Symposium 2018: 740-747
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