Sciweavers

GI
2007
Springer

Data Fusion Considering 'Negative' Information for Cooperative Vehicles

13 years 9 months ago
Data Fusion Considering 'Negative' Information for Cooperative Vehicles
: Negative information provides important additional knowledge that is not exploited for sensor data fusion tasks by default. This paper presents a new approach to incorporate such information about unoccupied, observed areas or missing measurements in the Kalman filtering process. For this purpose, a combination with a grid-based method is proposed to generate a visibility map. This enables a plausibility check and an enhanced understanding for the collaborative perception of the environment with multiple cognitive vehicles. Results from a realistic traffic simulation are presented.
Karin Tischler, Heike S. Vogt
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GI
Authors Karin Tischler, Heike S. Vogt
Comments (0)