Fast joint object detection and viewpoint estimation for traffic scene understanding
Environment perception is a critical enabler for automated driving systems since it allows a
comprehensive understanding of traffic situations, which is a requirement to ensure safe and
reliable operation. Among the different applications, obstacle identification is a primary
module of the perception system. We propose a vision-based method built upon a deep
convolutional neural network that can reason simultaneously about the location of objects in
the image and their orientations on the ground plane. The same set of convolutional layers …
comprehensive understanding of traffic situations, which is a requirement to ensure safe and
reliable operation. Among the different applications, obstacle identification is a primary
module of the perception system. We propose a vision-based method built upon a deep
convolutional neural network that can reason simultaneously about the location of objects in
the image and their orientations on the ground plane. The same set of convolutional layers …
Fast Joint Object Detection and Viewpoint Estimation for Traffic Scene Understanding
C Guindel Gómez, D Martín Gómez… - 2018 - e-archivo.uc3m.es
Environment perception is a critical enabler for automated driving systems since it allows a
comprehensive understanding of traffic situations, which is a requirement to ensure safe and
reliable operation. Among the different applications, obstacle identification is a primary
module of the perception system. We propose a vision-based method built upon a deep
convolutional neural network that can reason simultaneously about the location of objects in
the image and their orientations on the ground plane. The same set of convolutional layers …
comprehensive understanding of traffic situations, which is a requirement to ensure safe and
reliable operation. Among the different applications, obstacle identification is a primary
module of the perception system. We propose a vision-based method built upon a deep
convolutional neural network that can reason simultaneously about the location of objects in
the image and their orientations on the ground plane. The same set of convolutional layers …
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