Low-cost Lane-level Positioning in Urban Area Using Optimized Long Time Series GNSS and IMU Data. - Junichi Meguro; Takuya Arakawa; Syunsuke Mizutani; Aoki Takanose (ITSC, 2018)

Low-cost Accurate Positioning System in Urban Area How to use GPS/GNSS for Intelligent Vehicle . - Junichi Meguro; Aoki Takanose; Takuya Arakawa; Syunsuke Mizutani (MHS, 2019)

Improvement of RTK-GNSS with Low-Cost Sensors Based on Accurate Vehicle Motion Estimation Using GNSS Doppler. - Aoki Takanose; Kanamu Takikawa; Takuya Arakawa; Junichi Meguro (IV, 2020)

Eagleye: A Lane-Level Localization Using Low-Cost GNSS/IMU. - Aoki Takanose; Yuki Kitsukawa; Junichi Meguro; Eijiro Takeuchi; Alexander Carballo; Kazuya Takeda (IV Workshops, 2021)

Improvement of Reliability Determination Performance of Real Time Kinematic Solutions Using Height Trajectory. - Aoki Takanose; Yoshiki Atsumi; Kanamu Takikawa; Junichi Meguro (Sensors, 2021)

Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area. - Aoki Takanose; Eijiro Takeuchi; Alexander Carballo; Junichi Meguro; Kazuya Takeda (IV, 2023)

Localization System for Vehicle Navigation Based on GNSS/IMU Using Time-Series Optimization with Road Gradient Constrain. - Aoki Takanose; Kaito Kondo; Yuta Hoda; Junichi Meguro; Kazuya Takeda (J. Robotics Mechatronics, 2023)

Range-based 6-DoF Monte Carlo SLAM with Gradient-guided Particle Filter on GPU. - Takumi Nakao; Kenji Koide; Aoki Takanose; Shuji Oishi; Masashi Yokozuka; Hisashi Date (CoRR, 2025)

Tightly Coupled Range Inertial Odometry and Mapping with Exact Point Cloud Downsampling. - Kenji Koide; Aoki Takanose; Shuji Oishi; Masashi Yokozuka (CoRR, 2025)

Tightly-Coupled LiDAR-IMU-Leg Odometry With Online Learned Leg Kinematics Incorporating Foot Tactile Information. - Taku Okawara; Kenji Koide; Aoki Takanose; Shuji Oishi; Masashi Yokozuka; Kentaro Uno; Kazuya Yoshida (IEEE Robotics Autom. Lett., 2025)