Review the state-of-the-art technologies of semantic segmentation based on deep learning
Y Mo, Y Wu, X Yang, F Liu, Y Liao - Neurocomputing, 2022 - Elsevier
The goal of semantic segmentation is to segment the input image according to semantic
information and predict the semantic category of each pixel from a given label set. With the …
information and predict the semantic category of each pixel from a given label set. With the …
A review of vehicle detection techniques for intelligent vehicles
Z Wang, J Zhan, C Duan, X Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …
intelligent vehicles, which directly affects the behavior decision-making and motion planning …
Milestones in autonomous driving and intelligent vehicles: Survey of surveys
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
Rethinking range view representation for lidar segmentation
LiDAR segmentation is crucial for autonomous driving perception. Recent trends favor point-
or voxel-based methods as they often yield better performance than the traditional range …
or voxel-based methods as they often yield better performance than the traditional range …
Robust point cloud registration framework based on deep graph matching
Abstract 3D point cloud registration is a fundamental problem in computer vision and
robotics. Recently, learning-based point cloud registration methods have made great …
robotics. Recently, learning-based point cloud registration methods have made great …
Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
RORNet: Partial-to-partial registration network with reliable overlapping representations
Three-dimensional point cloud registration is an important field in computer vision. Recently,
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving
LiDAR-based 3D object detection for autonomous driving has recently drawn the attention of
both academia and industry since it relies upon a sensor that incorporates appealing …
both academia and industry since it relies upon a sensor that incorporates appealing …
A survey on deep-learning-based lidar 3d object detection for autonomous driving
LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast
decision-making when driving. The sensor is used in the perception system, especially …
decision-making when driving. The sensor is used in the perception system, especially …
Cpcm: Contextual point cloud modeling for weakly-supervised point cloud semantic segmentation
We study the task of weakly-supervised point cloud semantic segmentation with sparse
annotations (eg, less than 0.1% points are labeled), aiming to reduce the expensive cost of …
annotations (eg, less than 0.1% points are labeled), aiming to reduce the expensive cost of …