フォロー
Kohei Honda
Kohei Honda
確認したメール アドレス: a.mail.nagoya-u.ac.jp - ホームページ
タイトル
引用先
引用先
Comparative study of prediction models for model predictive path-tracking control in wide driving speed range
M Aoki, K Honda, H Okuda, T Suzuki
2021 IEEE Intelligent Vehicles Symposium (IV), 1261-1267, 2021
112021
Obstacle avoidance control based on nonlinear mpc for all wheel driven in-wheel ev in steering failure
M Aoki, K Honda, H Okuda, T Suzuki, A Ito, D Nagasaka
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
72022
Mpc builder for autonomous drive: Automatic generation of mpcs for motion planning and control
K Honda, H Okuda, T Suzuki, A Ito
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
52023
An occlusion-and interaction-aware safe control strategy for autonomous vehicles
S Gangadhar, Z Wang, K Poku, N Yamada, K Honda, Y Nakahira, ...
IFAC-PapersOnLine 56 (2), 7926-7933, 2023
52023
Generalized LOAM: LiDAR odometry estimation with trainable local geometric features
K Honda, K Koide, M Yokozuka, S Oishi, A Banno
IEEE Robotics and Automation Letters 7 (4), 12459-12466, 2022
52022
Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
K Honda, N Akai, K Suzuki, M Aoki, H Hosogaya, H Okuda, T Suzuki
2024 IEEE International Conference on Robotics and Automation (ICRA), 7020-7026, 2024
42024
Spline-Interpolated Model Predictive Path Integral Control with Stein Variational Inference for Reactive Navigation
T Miura, N Akai, K Honda, S Hara
arXiv preprint arXiv:2404.10395, 2024
32024
Connection of nonlinear model predictive controllers for smooth task switching in autonomous driving
K Honda, H Okuda, T Suzuki, A Ito
Asian Journal of Control 25 (3), 1805-1822, 2023
32023
Multi-task model predictive control based on continuation with intermediate mode
K Honda, H Okuda, T Suzuki
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
32020
When to replan? an adaptive replanning strategy for autonomous navigation using deep reinforcement learning
K Honda, R Yonetani, M Nishimura, T Kozuno
2024 IEEE International Conference on Robotics and Automation (ICRA), 6650-6656, 2024
22024
非線形モデル予測制御を用いたレーンチェンジにおける行動決定・経路計画・制御の同時実行
本田康平, 奥田裕之, 鈴木達也
自動車技術会論文集 52 (1), 100-105, 2021
22021
BenchNav: Simulation Platform for Benchmarking Off-road Navigation Algorithms with Probabilistic Traversability
M Endo, K Honda, G Ishigami
arXiv preprint arXiv:2405.13318, 2024
12024
Multi-Horizon and Multi-Rate Model Predictive Control for Integrated Longitudinal and Lateral Vehicle Control
CL Kuan, K Honda, H Okuda, T Suzuki
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
12023
Evaluation of vehicle prediction models for model predictive path-tracking control
M Aoki, K Honda, H Okuda, T Suzuki
Transactions of Society of Automotive Engineers of Japan 53 (3), 687-692, 2022
12022
Realization of Simultaneous Decision Making, Path Planning and Motion Control for Lane-changing Based on Nonlinear Model Predictive Control
K Honda, H Okuda, T Suzuki
Transactions of Society of Automotive Engineers of Japan 52 (1), 2021
12021
Towards Local Minima-free Robotic Navigation: Model Predictive Path Integral Control via Repulsive Potential Augmentation
T Fuke, M Endo, K Honda, G Ishigami
arXiv preprint arXiv:2410.11379, 2024
2024
Switching Sampling Space of Model Predictive Path-Integral Controller to Balance Efficiency and Safety in 4WIDS Vehicle Navigation
M Aoki, K Honda, H Okuda, T Suzuki
arXiv preprint arXiv:2409.08648, 2024
2024
Bayesian Network-Based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments
N Yamada, K Honda, H Okuda, T Suzuki, Y Nakahira
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Actual-Vehicle Verification of Automatic Parking in Narrow Spaces Considering Precise Collision Avoidance Constraints for Rectangular Objects
K Hoshino, K Honda, M Aoki, H Okuda, T Suzuki
2023 62nd Annual Conference of the Society of Instrument and Control …, 2023
2023
Control device for vehicle
A Ito, T Suzuki, H Okuda, K Honda
US Patent App. 17/808,521, 2023
2023
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