Secondly, the paper introduces a general threshold along with a mathematical demonstration to compute it which can be used in different dynamic object detection ...
[PDF] Improved dynamic object detection within evidential grids framework
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29 окт. 2019 г. · Abstract—The deployment of autonomous robots/vehicles is increasing in several domains. To perform tasks properly, a.
20 мар. 2020 г. · The latest studies on evidential grids relied on the use of thresholds for information management e.g. the use of a threshold, for the conflict ...
Secondly, the paper introduces a general threshold along with a mathematical demonstration to compute it which can be used in different dynamic object detection ...
16 июн. 2023 г. · The aim in this paper is to improve OGs to insure a robust detection of dynamic objects. Due to the high uncertainty in such task, the use ...
We extensively evaluate this hybrid architecture on the NuScenes Dataset, focusing on its ability to improve dynamic object detection as well grid quality.
11 нояб. 2019 г. · This paper proposes a method for dynamic object detection using Evidential 2.5D Occupancy Grids. The approach is based on a map representation ...
Improved dynamic object detection within evidential grids framework · Robotic Maintenance of Road Infrastructures: The HERON Project · A Safe, Efficient and ...
Grid-based tracking and mapping (GTAM) is presented, a low-level grid-based approach that simultaneously estimates the static and the dynamic environment, ...
This paper introduces a novel hybrid architecture that enhances radar-based Dynamic Occupancy Grid Mapping (DOGM) for autonomous vehicles.