[HTML][HTML] Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking
This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …
moving in a coordinated and interacting fashion. Groups are structured objects …
Pedestrian models for autonomous driving Part I: low-level models, from sensing to tracking
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
Extended object tracking: Introduction, overview and applications
K Granstrom, M Baum, S Reuter - ar**.github.io/assets/docs/Tracking/overview.pdf" data-clk="hl=it&sa=T&oi=gga&ct=gga&cd=3&d=7555673428142175299&ei=vlGnZ-PDFtO96rQP6YiX-Qs" data-clk-atid="Q7RFg_Mk22gJ" target="_blank">[PDF] github.io
[PDF][PDF] Multitarget tracking
Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …
and their states or trajectories from noisy sensor measurements. MTT has a long history …
Extended target tracking using Gaussian processes
In this paper, we propose using Gaussian processes to track an extended object or group of
objects, that generates multiple measurements at each scan. The shape and the kinematics …
objects, that generates multiple measurements at each scan. The shape and the kinematics …
Multiple extended target tracking with labeled random finite sets
Targets that generate multiple measurements at a given instant in time are commonly known
as extended targets. These present a challenge for many tracking algorithms, as they violate …
as extended targets. These present a challenge for many tracking algorithms, as they violate …
Learnable online graph representations for 3d multi-object tracking
Autonomous systems that operate in dynamic environments require robust object tracking in
3D as one of their key components. Most recent approaches for 3D multi-object tracking …
3D as one of their key components. Most recent approaches for 3D multi-object tracking …
An extended target CPHD filter and a gamma Gaussian inverse Wishart implementation
<? Pub Dtl=""?> This paper presents a cardinalized probability hypothesis density (CPHD)
filter for extended targets that can result in multiple measurements at each scan. The …
filter for extended targets that can result in multiple measurements at each scan. The …
Poisson multi-Bernoulli mixture conjugate prior for multiple extended target filtering
This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate prior for multiple
extended object filtering. A Poisson point process is used to describe the existence of yet …
extended object filtering. A Poisson point process is used to describe the existence of yet …
Extended object tracking with random hypersurface models
The random hypersurface model (RHM) is introduced for estimating a shape approximation
of an extended object in addition to its kinematic state. An RHM represents the spatial extent …
of an extended object in addition to its kinematic state. An RHM represents the spatial extent …