6 papers
Semantic-weighted ICP for LiDAR Odometry: Class-Aware Residual Reweighting for Robust Scan Registration
Vasco Carvalho, Tiago Barros, Urbano J. Nunes
LiDAR odometry is a fundamental component of autonomous robotic systems, relying on geometric registration between consecutive point clouds to estimate ego-motion. However, traditi…
Seg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation
Diogo Mendonça, Tiago Barros, Cristiano Premebida +1
Autonomous systems require robust Multi-Object Tracking and Segmentation (MOTS) to operate reliably in dynamic environments, ensuring consistent object identities and precise mask-…
HortiMulti: A Multi-Sensor Dataset for Localisation and Mapping in Horticultural Polytunnels
Shuoyuan Xu, Zhipeng Zhong, Tiago Barros +4
Agricultural robotics is gaining increasing relevance in both research and real-world deployment. As these systems are expected to operate autonomously in more complex tasks, the a…
Seg2Track-SAM2: SAM2-based Multi-object Tracking and Segmentation
Diogo Mendonça, Tiago Barros, Cristiano Premebida +1
Autonomous-driving perception systems require robust Multi-Object Tracking (MOT) to operate reliably in dynamic environments. MOT maintains consistent object identities across fram…
Impact of 3D LiDAR Resolution in Graph-based SLAM Approaches: A Comparative Study
J. Jorge, T. Barros, C. Premebida +3
Simultaneous Localization and Mapping (SLAM) is a key component of autonomous systems operating in environments that require a consistent map for reliable localization. SLAM has be…
PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture
T. Barros, L. Garrote, P. Conde +4
3D LiDAR-based place recognition remains largely underexplored in horticultural environments, which present unique challenges due to their semi-permeable nature to laser beams. Thi…