For the generic assessment and the total management of collision risks with multitraffic in
complex driving situations, it is essential to estimate and represent the target vehicles' …

This paper presents algorithms that can be used to track the state of kinematic point targets,
moving in two dimensions, that are capable of making very sharp heading maneuvers over …

The interacting multiple model (IMM) estimator outperforms fixed model filters, eg the
Kalman filter, in scenarios where the targets have periods of disparate behavior. Key to the …

Robust and adaptive vehicle state estimation and tracking algorithms have become a very
important part within the autonomous driving field. The family of interacting multiple model …

This article presents the design of an interacting multiple model (IMM) filter for visual-inertial
navigation (VIN) of MAVs. VIN of MAVs in practice typically uses a single system model for …

This paper considers extended targets that have constant extension shapes, but generate
measurements whose appearance can change abruptly. The problem is approached using …

Autonomous driving poses unique challenges for vehicle environment perception due to the
complex driving environment where the autonomous vehicle interacts with surrounding …

Physicists generally express the motion of objects in continuous time using differential
equations, whereas the majority of target tracking algorithms use discrete-time models. This …

A suboptimal algorithm to fixed-interval and fixed-lag smoothing for Markovian switching
systems is proposed. It infers a Gaussian mixture approximation of the smoothing pdf by …

Multiple motion estimators such as an interacting multiple model (IMM) have been utilized to
track target objects such as cars and pedestrians with diverse motion patterns. However, the …