Sensor

Object level sensor fusion for multiobject tracking

Object level sensor fusion for multiobject tracking
  1. What is multimodal sensor fusion?
  2. What is multi sensor tracking?
  3. What is sensor level fusion?
  4. What is multisensor fusion and integration?

What is multimodal sensor fusion?

Multimodal fusion entails the combination of information from a set of different types of sensors. Exploiting complementary information from different sensors, we show that target detection and classification problems can greatly benefit from this fusion approach and result in a performance increase.

What is multi sensor tracking?

MultiSensorTracker (MST) processes and correlates data provided by different sensor types (e.g. Radar, AIS) in order to produce system tracks that are updated by one or more sensors. Flexible input filtering assures sensor specific data preprocessing and prevents undesired target merging.

What is sensor level fusion?

Sensor fusion is the ability to bring together inputs from multiple radars, lidars and cameras to form a single model or image of the environment around a vehicle. The resulting model is more accurate because it balances the strengths of the different sensors.

What is multisensor fusion and integration?

Multisensor fusion and integration is a rapidly evolving research area and requires interdisciplinary knowledge in control theory, signal processing, artificial intelligence, probability and statistics, etc.

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