3 accepted papers
LiDAR odometry is a pivotal technology in the fields of autonomous driving and autonomous mobile robotics. However, most of the current works focus on nonlinear optimization methods, and still existing many challenges in using the traditional Iterative Extended Kalman Filter (IEKF) framework to tack…
As solid-state LiDAR technology advances, mobile robotics and autonomous driving increasingly rely on multiple solid-state LiDARs for perception. However, limited or non-overlapping fields of view (FoV) among these sensors pose significant challenges for extrinsic calibration. Moreover, there are no
Multiple cameras have emerged as a promising technology for robots and vehicles due to their broad fields of view (FoV) and high resolution. However, there are often limited or no overlapping FoVs among cameras, bringing challenges to estimating extrinsic camera parameters. To overcome this problem,