Grid-centric traffic scenario perception for autonomous driving: A comprehensive review
The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …
Survey of maps of dynamics for mobile robots
Robotic map** provides spatial information for autonomous agents. Depending on the
tasks they seek to enable, the maps created range from simple 2D representations of the …
tasks they seek to enable, the maps created range from simple 2D representations of the …
Lifelong localization in changing environments
Robot localization systems typically assume that the environment is static, ignoring the
dynamics inherent in most real-world settings. Corresponding scenarios include …
dynamics inherent in most real-world settings. Corresponding scenarios include …
Towards lifelong feature-based map** in semi-static environments
The feature-based graphical approach to robotic map** provides a representationally rich
and computationally efficient framework for an autonomous agent to learn a model of its …
and computationally efficient framework for an autonomous agent to learn a model of its …
Autonomous transport vehicles: Where we are and what is missing
In this article, we address the problem of realizing a complete efficient system for automated
management of fleets of autonomous ground vehicles in industrial sites. We elicit from …
management of fleets of autonomous ground vehicles in industrial sites. We elicit from …
TSDF-based change detection for consistent long-term dense reconstruction and dynamic object discovery
Robots that are operating for extended periods of time need to be able to deal with changes
in their environment and represent them adequately in their maps. In this paper, we present …
in their environment and represent them adequately in their maps. In this paper, we present …
Bayesian hilbert maps for dynamic continuous occupancy map**
Hilbert map** is an efficient technique for building continuous occupancy maps from
depth sensors such as LiDAR in static environments. However, to make the map adaptable …
depth sensors such as LiDAR in static environments. However, to make the map adaptable …
Meta-rooms: Building and maintaining long term spatial models in a dynamic world
We present a novel method for re-creating the static structure of cluttered office
environments-which we define as the “meta-room”-from multiple observations collected by …
environments-which we define as the “meta-room”-from multiple observations collected by …
Evidential grid-based tracking and map**
Tracking and map** the local environment form the basis of an autonomous vehicle
system. They are often realized separately using occupancy grids, which do not require …
system. They are often realized separately using occupancy grids, which do not require …
Reliable Monte Carlo localization for mobile robots
Reliability is a key factor for realizing safety guarantee of fully autonomous robot systems. In
this paper, we focus on reliability in mobile robot localization. Monte Carlo localization …
this paper, we focus on reliability in mobile robot localization. Monte Carlo localization …