Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
Evaluation of socially-aware robot navigation
As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …
imperative that these robots navigate with and among people in a safe and socially …
Socially compliant navigation dataset (scand): A large-scale dataset of demonstrations for social navigation
Social navigation is the capability of an autonomous agent, such as a robot, to navigate in a
“socially compliant” manner in the presence of other intelligent agents such as humans. With …
“socially compliant” manner in the presence of other intelligent agents such as humans. With …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Artificial intelligence for long-term robot autonomy: A survey
Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …
domains including space, marine, air, field, road, and service robotics. They will assist us in …
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 …
A review of deep learning-based methods for pedestrian trajectory prediction
BI Sighencea, RI Stanciu, CD Căleanu - Sensors, 2021 - mdpi.com
Pedestrian trajectory prediction is one of the main concerns of computer vision problems in
the automotive industry, especially in the field of advanced driver assistance systems. The …
the automotive industry, especially in the field of advanced driver assistance systems. The …
Principles and guidelines for evaluating social robot navigation algorithms
A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …
environments, commonly referred to as social robot navigation. While the field of social …
Online learning for 3D LiDAR-based human detection: experimental analysis of point cloud clustering and classification methods
This paper presents a system for online learning of human classifiers by mobile service
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …
EU long-term dataset with multiple sensors for autonomous driving
The field of autonomous driving has grown tremendously over the past few years, along with
the rapid progress in sensor technology. One of the major purposes of using sensors is to …
the rapid progress in sensor technology. One of the major purposes of using sensors is to …