Sökning: "multi-object tracking"
Hittade 5 avhandlingar innehållade orden multi-object tracking.
1. Deep Learning For Model-Based Multi-Object Tracking
Sammanfattning : Multi-object tracking (MOT) is the task of estimating the state of multiple objects based on noisy sensor measurements. MOT is essential in various applications, such as pedestrian monitoring, vehicle tracking, animal behavior analysis, and others. LÄS MER
2. Conjugate priors for Bayesian object tracking
Sammanfattning : Object tracking refers to the problem of using noisy sensor measurements to determine the location and characteristics of objects of interest in clutter. Nowadays, object tracking has found applications in numerous research venues as well as application areas, including air traffic control, maritime navigation, remote sensing, intelligent video surveillance, and more recently environmental perception, which is a key enabling technology in autonomous vehicles. LÄS MER
3. Poisson Multi-Bernoulli Mixtures for Multiple Object Tracking
Sammanfattning : Multi-object tracking (MOT) refers to the process of estimating object trajectories of interest based on sequences of noisy sensor measurements obtained from multiple sources. Nowadays, MOT has found applications in numerous areas, including, e.g. LÄS MER
4. Parking support model for open parking lots
Sammanfattning : Parking is a common process performed by vehicle drivers when they arrive at their destination. It is considered to be the last mile transportation problem of personal vehicles. Some of the common problems observed by drivers are additional cruising, congestion, pollution, and driver frustration. LÄS MER
5. Bayesian Inference for Automotive Applications
Sammanfattning : Environment perception is an important aspect of modern automated systems. The perception consists of fusing information from different sensors to estimate variables which provide a description of the scene. LÄS MER