A survey on ground segmentation methods for automotive LiDAR sensors
In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …
roads. However, fully autonomous cars will require robust perception systems to safely …
Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3d point cloud
In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential
task for various purposes, such as traversable area detection and object recognition. Under …
task for various purposes, such as traversable area detection and object recognition. Under …
Re-evaluating lidar scene flow for autonomous driving
Popular benchmarks for self-supervised LiDAR scene flow (stereoKITTI, and
FlyingThings3D) have unrealistic rates of dynamic motion, unrealistic correspondences, and …
FlyingThings3D) have unrealistic rates of dynamic motion, unrealistic correspondences, and …
Object-level semantic and velocity feedback for dynamic occupancy grids
LiDAR-basedframeworks combining dynamic occupancy grids and object-level tracking are
a popular approach for perception of the environment in autonomous driving applications …
a popular approach for perception of the environment in autonomous driving applications …
Archaeological site segmentation of ancient city walls based on deep learning and LiDAR remote sensing
Ancient city walls, one of the most notable distinguishing features of Chinese ancient cities,
are military defenses constructed of rammed earth. The ancient city walls have considerable …
are military defenses constructed of rammed earth. The ancient city walls have considerable …
Road classification using 3D LiDAR sensor on vehicle
B Liu, D Zhao, H Zhang - Measurement Science and Technology, 2023 - iopscience.iop.org
Road classification is essential in outdoor vehicle perception systems to evaluate driving
scenarios. A light detection and ranging (LiDAR) sensor can provide accurate …
scenarios. A light detection and ranging (LiDAR) sensor can provide accurate …
Enhanced deep learning network for accurate digital elevation model generation from LiDAR data
MH Almomani, RA Zitar, AI Alzahrani… - Automation in …, 2024 - Elsevier
This paper presents a unique hierarchical deep network to tackle the task of identifying and
filtering non-ground objects from point cloud data. This task is essential in the building of …
filtering non-ground objects from point cloud data. This task is essential in the building of …
[HTML][HTML] Object-wise comparison of LiDAR occupancy grid scan rendering methods
Abstract Computing Occupancy grids with LiDAR data, is a popular strategy for environment
representation. In the last two decades, several authors have proposed different methods to …
representation. In the last two decades, several authors have proposed different methods to …
GPU-accelerated interaction-aware motion prediction
Before their massive deployment, autonomous vehicles need to prove in complex scenarios
such that they can reach human driving proficiency while guaranteeing higher safety levels …
such that they can reach human driving proficiency while guaranteeing higher safety levels …