Fusion of laser and radar sensor data with a sequential Monte Carlo Bayesian occupancy filter

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn 2015-August, Issue , 2015, Pages 1074-1081

  Nuss, Dominik ^a   Yuan, Ting ^b   Krehl, Gunther ^b   Stuebler, Manuel ^a   Reuter, Stephan ^a   Dietmayer, Klaus ^a  

^a UNIVERSITY OF ULM   (Germany)

^b MERCEDES BENZ AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CYTOLOGY; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MONTE CARLO METHODS; RADAR; SENSOR DATA FUSION; VEHICLES;

CHANGING ENVIRONMENT; COMPUTATIONAL COSTS; DOPPLER INFORMATION; KNOWN ENVIRONMENTS; SENSOR MEASUREMENTS; SEQUENTIAL MONTE CARLO; SEQUENTIAL MONTE CARLO IMPLEMENTATIONS; STATIONARY OBSTACLES;

RADAR MEASUREMENT;

EID: 84951139313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2015.7225827     Document Type: Conference Paper

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