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Switching Trackers for Effective Sensor Fusion in Advanced Driver Assistance Systems
Ankur Deo
,
Vasile Palade
Research Centre for Computational Science and Mathematical Modelling
KPIT Technologies Ltd.
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Citation (Scopus)
90
Downloads (Pure)
Overview
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Dive into the research topics of 'Switching Trackers for Effective Sensor Fusion in Advanced Driver Assistance Systems'. Together they form a unique fingerprint.
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Physics
Traffic
100%
Algorithms
60%
Performance
60%
Multisensor Fusion
60%
Model
40%
Vehicle
40%
Tracking Algorithm
40%
Variations
40%
Region
20%
Probability Theory
20%
Information
20%
Counters
20%
Revisions
20%
Foci
20%
Identifying
20%
Area
20%
Road
20%
Measuring Instruments
20%
Computer Science
Traffic Condition
60%
Advanced Driver Assistance System
60%
Recognition Algorithm
40%
Sensor
40%
Multiple Sensor
20%
Extended Kalman Filter
20%
Surrounding Environment
20%
Probability
20%
High Probability
20%
False Negative
20%
Accuracy
20%
Kalman Filtering
20%
False Positive
20%