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 …
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
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 …
system with more holistic 3D perception. However, widely explored tasks like 3D detection …
4D-Former: Multimodal 4D panoptic segmentation
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 …
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
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 …
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
Efficient analysis of point clouds holds paramount significance in real-world 3D applications.
Currently, prevailing point-based models adhere to the PointNet++ methodology, which …
Currently, prevailing point-based models adhere to the PointNet++ methodology, which …
Lidar Panoptic Segmentation in an Open World
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 …
autnomous vehicles. LPS aims to recognize and segment lidar points wrt a pre-defined …
Uncertainty-aware lidar panoptic segmentation
Modern autonomous systems often rely on LiDAR scanners, in particular for autonomous
driving scenarios. In this context, reliable scene understanding is indispensable …
driving scenarios. In this context, reliable scene understanding is indispensable …
Real-time fast channel clustering for LiDAR point cloud
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 …
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
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 …
where obstacles are and how they move. Instead of using expensive traditional 3D sensors …
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
Recently, progress in acquisition equipment such as LiDAR sensors has enabled sensing
increasingly spacious outdoor 3D environments. Making sense of such 3D acquisitions …
increasingly spacious outdoor 3D environments. Making sense of such 3D acquisitions …