Results 51 to 60 of about 11,537 (265)
20 pages, 21 figures, https://www.youtube.com/watch?v ...
Ryuichi Ueda +2 more
openaire +2 more sources
Particle filtering with alpha-stable distributions [PDF]
In this paper we introduce a novel sequential Monte Carlo technique, which is based on the family of symmetric alpha- stable (SAS) distributions.
D. Bull +9 more
core +1 more source
Particle Filtering: The Need for Speed [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gustaf Hendeby +2 more
openaire +5 more sources
Joint Audio-Visual Tracking Using Particle Filters
It is often advantageous to track objects in a scene using multimodal information when such information is available. We use audio as a complementary modality to video data, which, in comparison to vision, can provide faster localization over a wider ...
Dmitry N. Zotkin +2 more
doaj +1 more source
UAPF: A UWB Aided Particle Filter Localization For Scenarios with Few Features
Lidar-based localization doesn’t have high accuracy in open scenarios with few features, and behaves poorly in robot kidnap recovery. To address this problem, an improved Particle Filter localization is proposed who could achieve robust robot kidnap ...
Yang Wang +5 more
doaj +1 more source
Radio Frequency Signal Strength Based Multitarget Tracking With Robust Path Planning
The proliferation of technologically advanced and mobile devices poses risks to public safety and security. These threats can be mitigated by systems equipped to perform timely identification and tracking of devices and their operators.
Lucas Tindall +2 more
doaj +1 more source
Gravity optimised particle filter for hand tracking [PDF]
This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the gravitational force for every particle is proportional to its weight. GOPF attracts nearby particles and replicates new particles as if moving the particles towards
Tjahjadi, Tardi +4 more
core +1 more source
Filtering via Simulation: Auxiliary Particle Filters [PDF]
This article analyses the recently suggested particle approach to filtering time series. We suggest that the algorithm is not robust to outliers for two reasons: the design of the simulators and the use of the discrete support to represent the sequentially updating prior distribution. Here we tackle the first of these problems.
Michael K Pitt, Neil Shephard
openaire +5 more sources
Optimal Intermittent Particle Filter
13 pages, 7 figures, 3 ...
Antoine Aspeel +3 more
openaire +3 more sources
TMPF: A Two‐Stage Merging Planning Framework for Dense Traffic
Planning for autonomous vehicles to merge into high‐density traffic flows within limited mileage is quite challenging. Specifically, the driving trajectory will inevitably have intersections with other vehicles whose driving intentions can't be directly ...
Ci Chen +3 more
doaj +1 more source

