Partially observable markov decision processes in robotics: A survey
Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
many real-world robot tasks. The partially observable Markov decision process (POMDP) …
Automated driving in uncertain environments: Planning with interaction and uncertain maneuver prediction
Automated driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles
Autonomous driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
UAV framework for autonomous onboard navigation and people/object detection in cluttered indoor environments
Response efforts in emergency applications such as border protection, humanitarian relief
and disaster monitoring have improved with the use of Unmanned Aerial Vehicles (UAVs) …
and disaster monitoring have improved with the use of Unmanned Aerial Vehicles (UAVs) …
A review of current approaches for UAV autonomous mission planning for Mars biosignatures detection
Autonomous mission planning for unmanned aerial vehicles (UAVs) aims to leverage the
capabilities of UAVs equipped with on-board sensors to accomplish a wide range of …
capabilities of UAVs equipped with on-board sensors to accomplish a wide range of …
A POMDP maneuver planner for occlusions in urban scenarios
Behavior planning in urban environments must consider the various existing uncertainties in
an explicit way. This work proposes a behavior planner, based on a POMDP formulation …
an explicit way. This work proposes a behavior planner, based on a POMDP formulation …
Drone-based autonomous motion planning system for outdoor environments under object detection uncertainty
Recent advances in autonomy of unmanned aerial vehicles (UAVs) have increased their
use in remote sensing applications, such as precision agriculture, biosecurity, disaster …
use in remote sensing applications, such as precision agriculture, biosecurity, disaster …
Occlusion-aware planning for autonomous driving with vehicle-to-everything communication
C Zhang, F Steinhauser, G Hinz… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Navigating safely through occlusion scenarios remains challenging for Autonomous
Vehicles (AVs) due to onboard sensors with obstructed Fields of View (FoVs). Integrating …
Vehicles (AVs) due to onboard sensors with obstructed Fields of View (FoVs). Integrating …
A framework for UAV navigation and exploration in GPS-denied environments
Unmanned Aerial Vehicles (UAV) are increasingly used in a wide range of applications such
as civil infrastructure inspection, agriculture, ecology and remote sensing. UAV autonomous …
as civil infrastructure inspection, agriculture, ecology and remote sensing. UAV autonomous …
Predictive trajectory planning in situations with hidden road users using partially observable markov decision processes
P Schörner, L Töttel, J Doll… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
State of the art emergency brake assistant systems solely based on sensor measurements
reduced the number of traffic accidents and casualties drastically in recent years. In order to …
reduced the number of traffic accidents and casualties drastically in recent years. In order to …