5 papers
Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning
Zichao Zeng, June Moh Goo, Junwei Zheng +4
Visual Place Recognition (VPR) aims to match a query image to reference images of the same place in a large-scale database. Recent state-of-the-art methods employ Vision Transforme…
Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
Weitong Kong, Zichao Zeng, Di Wen +5
Accurate perception is critical for vehicle safety, with LiDAR as a key enabler in autonomous driving. To ensure robust performance across environments, sensor types, and weather c…
A Comprehensive Survey on Deep Learning-Based LiDAR Super-Resolution for Autonomous Driving
June Moh Goo, Zichao Zeng, Jan Boehm
LiDAR sensors are often considered essential for autonomous driving, but high-resolution sensors remain expensive while affordable low-resolution sensors produce sparse point cloud…
Real-Time LiDAR Super-Resolution via Frequency-Aware Multi-Scale Fusion
June Moh Goo, Zichao Zeng, Jan Boehm
LiDAR super-resolution addresses the challenge of achieving high-quality 3D perception from cost-effective, low-resolution sensors. While recent transformer-based approaches like T…
Checkerboard Target Measurement in Unordered Point Clouds with Coloured ICP
June Moh Goo, Jialun Li, Darmawan Wicaksono +1
In this work, we investigate the problem of measuring a the centre checkerboard target in an 3D point cloud. This is an important problem which has applications in registration, lo…