[HTML][HTML] Error analysis in a stereo vision-based pedestrian detection sensor for collision avoidance applications
This paper presents an analytical study of the depth estimation error of a stereo vision-based
pedestrian detection sensor for automotive applications such as pedestrian collision
avoidance and/or mitigation. The sensor comprises two synchronized and calibrated low-
cost cameras. Pedestrians are detected by combining a 3D clustering method with Support
Vector Machine-based (SVM) classification. The influence of the sensor parameters in the
stereo quantization errors is analyzed in detail providing a point of reference for choosing …
pedestrian detection sensor for automotive applications such as pedestrian collision
avoidance and/or mitigation. The sensor comprises two synchronized and calibrated low-
cost cameras. Pedestrians are detected by combining a 3D clustering method with Support
Vector Machine-based (SVM) classification. The influence of the sensor parameters in the
stereo quantization errors is analyzed in detail providing a point of reference for choosing …
Error analysis in a stereo vision-based pedestrian detection sensor for collision avoidance applications
D Fernández Llorca, MÁ Sotelo Vázquez… - 2010 - ebuah.uah.es
This paper presents an analytical study of the depth estimation error of a stereo vision-based
pedestrian detection sensor for automotive applications such as pedestrian collision
avoidance and/or mitigation. The sensor comprises two synchronized and calibrated low-
cost cameras. Pedestrians are detected by combining a 3D clustering method with Support
Vector Machine-based (SVM) classification. The influence of the sensor parameters in the
stereo quantization errors is analyzed in detail providing a point of reference for choosing …
pedestrian detection sensor for automotive applications such as pedestrian collision
avoidance and/or mitigation. The sensor comprises two synchronized and calibrated low-
cost cameras. Pedestrians are detected by combining a 3D clustering method with Support
Vector Machine-based (SVM) classification. The influence of the sensor parameters in the
stereo quantization errors is analyzed in detail providing a point of reference for choosing …
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