Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors
- Resource Type
- Conference
- Authors
- Brehar, Raluca; Vancea, Cristian; Marita, Tiberiu; Giosan, Ion; Nedevschi, Sergiu
- Source
- 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. :385-392 Sep, 2015
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Cameras
Sensor systems
Calibration
Three-dimensional displays
Gray-scale
Feature extraction
- Language
Multiple sensor systems are extremely used in autonomous driving for providing increased object detection accuracy. We present a multiple sensor based pedestrian detection system that combines aggregated channel features classifiers trained on images captured with two types of sensors: far infrared and stereovision sensors.