W Liu, SW Kim, S Pendleton… - 2015 IEEE Intelligent …, 2015 - ieeexplore.ieee.org
… In short, the onlinePOMDP algorithm divides each control loop into two phases: planning … detailed introduction of onlinePOMDPs. In our application, the onlinePOMDP solver DESPOT …
… CONCLUSIONS We develop an online and closed-loop behavior prediction model for POMDP planning in autonomousdriving. Specifically, we propose an online recurrent neural …
S Brechtel, T Gindele, R Dillmann - 17th international IEEE …, 2014 - ieeexplore.ieee.org
… In this paper, we model the task of choosing safe, efficient, and goal-directed driving behaviors as a continuous POMDP. We employ a continuous POMDP solver [3] to find an …
… approach that is commonly used to solve the POMDP problem. The results showed that the … in challenging POMDPs. In this paper, we firstly extend the original POMDP with LSTM [7] …
… The main contribution of this work is the presentation of an online capable POMDP framework for autonomousdriving under various environment situations. The modeling results in a …
… Many researchers have explored human behavior POMDPs in autonomousdriving scenarios (eg [2]–[6]). This work aims to provide insight into the following questions in the context of a …
F Pusse, M Klusch - 2019 ieee intelligent vehicles symposium …, 2019 - ieeexplore.ieee.org
… renewed interest on the problem in the domain of autonomousdriving [23], [20]. APPL-based solutions such as the online approximate POMDP planner IS-DESPOT [15] leverage their …
C Zhang, F Steinhauser, G Hinz… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
… for an autonomousdriving system to handle occlusion driving … The POMDP behavior planner generates longitudinal driving … POMDP and how to use the POMDP formulation to model a …