Estimation of Distance to Planar Surfaces and Type of Material with Infrared Sensors

This paper proposes a new technique for computing the distance to an unknown planar surface and, at the same time, estimating the material of the surface through the use of low-cost infrared sensors. Previous approaches to this problem require more costly ultrasound systems as a complement or, alternatively, an exhaustive training process that records the sensor response corresponding to known materials measured at different predefined distances. Experimental results with an off-the-shelf infrared sensor mounted on a mobile robot are presented.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Miguel Angel García, Agusti Solanas
• Keywords: Computer Vision, ICPR 2004, Low-cost Infrared Sensors, Off-the-shelf Infrared Sensor, Unknown Planar Surface