NIR sensitivity analysis with the VANE

Justin T. Carrillo; Christopher T. Goodin; Alex E. Baylot

doi:10.1117/12.2222077

Translator Disclaimer

3 May 2016 NIR sensitivity analysis with the VANE

Justin T. Carrillo, Christopher T. Goodin, Alex E. Baylot

Author Affiliations +

Proceedings Volume 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII; 98200I (2016) https://doi.org/10.1117/12.2222077
Event: SPIE Defense + Security, 2016, Baltimore, Maryland, United States

Abstract

Near infrared (NIR) cameras, with peak sensitivity around 905-nm wavelengths, are increasingly used in object detection applications such as pedestrian detection, occupant detection in vehicles, and vehicle detection. In this work, we present the results of simulated sensitivity analysis for object detection with NIR cameras. The analysis was conducted using high performance computing (HPC) to determine the environmental effects on object detection in different terrains and environmental conditions. The Virtual Autonomous Navigation Environment (VANE) was used to simulate highresolution models for environment, terrain, vehicles, and sensors. In the experiment, an active fiducial marker was attached to the rear bumper of a vehicle. The camera was mounted on a following vehicle that trailed at varying standoff distances. Three different terrain conditions (rural, urban, and forest), two environmental conditions (clear and hazy), three different times of day (morning, noon, and evening), and six different standoff distances were used to perform the sensor sensitivity analysis. The NIR camera that was used for the simulation is the DMK firewire monochrome on a pan-tilt motor. Standoff distance was varied along with environment and environmental conditions to determine the critical failure points for the sensor. Feature matching was used to detect the markers in each frame of the simulation, and the percentage of frames in which one of the markers was detected was recorded. The standoff distance produced the biggest impact on the performance of the camera system, while the camera system was not sensitive to environment conditions.

Citation Download Citation

Justin T. Carrillo, Christopher T. Goodin, and Alex E. Baylot "NIR sensitivity analysis with the VANE", Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 98200I (3 May 2016); https://doi.org/10.1117/12.2222077

ACCESS THE FULL ARTICLE