From the 1 of 5 linked papers with an AI index.
5 papers
RaDiVe: Robust 4D Radar Odometry with Distance-Bounded NDT and Velocity-Discrepancy Point Uncertainty
Sangwoo Jung, Dongjae Lee, Chiyun Noh +1
The paper presents RaDiVe, a 4D radar odometry system that improves registration accuracy and robustness by using a distance‑bounded NDT, a velocity‑discrepancy point uncertainty m…
GaRLILEO: Gravity-aligned Radar-Leg-Inertial Enhanced Odometry
Chiyun Noh, Sangwoo Jung, Hanjun Kim +3
Deployment of legged robots for navigating challenging terrains (e.g., stairs, slopes, and unstructured environments) has gained increasing preference over wheel-based platforms. I…
Four Simple Proprioceptive Estimators for Legged Robots
Frank Dellaert, Chiyun Noh, Varun Agrawal +1
Legged robots carry an IMU, but the inertial solution drifts because consumer-grade IMUs are noisy. However, the feet create intermittent contacts with the environment that can be…
GaRLIO: Gravity enhanced Radar-LiDAR-Inertial Odometry
Chiyun Noh, Wooseong Yang, Minwoo Jung +2
Recently, gravity has been highlighted as a crucial constraint for state estimation to alleviate potential vertical drift. Existing online gravity estimation methods rely on pose e…
HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM
Hanjun Kim, Minwoo Jung, Chiyun Noh +5
Recently, radars have been widely featured in robotics for their robustness in challenging weather conditions. Two commonly used radar types are spinning radars and phased-array ra…