Object detection based on roadside LiDAR for cooperative driving automation: A review

P Sun, C Sun, R Wang, X Zhao - Sensors, 2022 - mdpi.com
Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …

Unified 3d and 4d panoptic segmentation via dynamic shifting networks

F Hong, L Kong, H Zhou, X Zhu, H Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid advances in autonomous driving, it becomes critical to equip its sensing
system with more holistic 3D perception. However, widely explored tasks like 3D detection …

4D-Former: Multimodal 4D panoptic segmentation

A Athar, E Li, S Casas… - Conference on Robot …, 2023 - proceedings.mlr.press
Abstract 4D panoptic segmentation is a challenging but practically useful task that requires
every point in a LiDAR point-cloud sequence to be assigned a semantic class label, and …

Location-guided lidar-based panoptic segmentation for autonomous driving

G Xian, C Ji, L Zhou, G Chen, J Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The application of artificial intelligence in autonomous driving is becoming increasingly
extensive. LiDAR-based 3D point cloud panoptic segmentation is one of the most promising …

Pointgl: a simple global-local framework for efficient point cloud analysis

J Li, J Wang, T Xu - IEEE Transactions on Multimedia, 2024 - ieeexplore.ieee.org
Efficient analysis of point clouds holds paramount significance in real-world 3D applications.
Currently, prevailing point-based models adhere to the PointNet++ methodology, which …

Lidar Panoptic Segmentation in an Open World

AS Chakravarthy, MR Ganesina, P Hu… - International Journal of …, 2024 - Springer
Abstract Addressing Lidar Panoptic Segmentation (LPS) is crucial for safe deployment of
autnomous vehicles. LPS aims to recognize and segment lidar points wrt a pre-defined …

Uncertainty-aware lidar panoptic segmentation

K Sirohi, S Marvi, D Büscher… - 2023 IEEE international …, 2023 - ieeexplore.ieee.org
Modern autonomous systems often rely on LiDAR scanners, in particular for autonomous
driving scenarios. In this context, reliable scene understanding is indispensable …

Real-time fast channel clustering for LiDAR point cloud

X Zhang, X Huang - IEEE Transactions on Circuits and Systems …, 2022 - ieeexplore.ieee.org
LiDAR sensors can produce point clouds with precise 3D depth information that is essential
for autonomous vehicles and robotic systems. As a perception task, point cloud clustering …

Active velocity estimation using light curtains via self-supervised multi-armed bandits

S Ancha, G Pathak, J Zhang, S Narasimhan, D Held - Autonomous Robots, 2024 - Springer
To navigate in an environment safely and autonomously, robots must accurately estimate
where obstacles are and how they move. Instead of using expensive traditional 3D sensors …

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans

C Perauer, LA Heidrich, H Zhang, M Nießner… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, progress in acquisition equipment such as LiDAR sensors has enabled sensing
increasingly spacious outdoor 3D environments. Making sense of such 3D acquisitions …