Scipediacontent: Scipediacontent moved page Draft Content 928642630 to Dubbelman et al 2019a

2021-01-28T19:22:05Z

Scipediacontent moved page Draft Content 928642630 to Dubbelman et al 2019a

Scipediacontent: Created page with " == Abstract == In this paper, we present a deep neural network based real-time integrated framework to detect objects, lane markings, and drivable space using a monocular ca..."

2021-01-28T19:22:00Z

Created page with " == Abstract == In this paper, we present a deep neural network based real-time integrated framework to detect objects, lane markings, and drivable space using a monocular ca..."

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== Abstract ==

In this paper, we present a deep neural network based real-time integrated framework to detect objects, lane markings, and drivable space using a monocular camera for advanced driver assistance systems. The object detection framework detects and tracks objects on the road such as cars, trucks, pedestrians, bicycles, motorcycles, and traffic signs. The lane detection framework identifies the different lane markings on the road and also distinguishes between the ego lane and adjacent lane boundaries. The free space detection framework estimates the drivable space in front of the vehicle. In our integrated framework, we propose a pipeline combining the three deep neural networks into a single framework, for object detection, lane detection, and free space detection simultaneously. The integrated framework is implemented in C++ and runs real-time on the Nvidia's Drive PX 2 platform.

== Original document ==

The different versions of the original document can be found in:

* [http://www.scopus.com/inward/record.url?scp=85075877003&partnerID=8YFLogxK http://www.scopus.com/inward/record.url?scp=85075877003&partnerID=8YFLogxK],
: [http://dx.doi.org/10.1109/worlds4.2019.8904020 http://dx.doi.org/10.1109/worlds4.2019.8904020]

* [http://xplorestaging.ieee.org/ielx7/8892594/8903920/08904020.pdf?arnumber=8904020 http://xplorestaging.ieee.org/ielx7/8892594/8903920/08904020.pdf?arnumber=8904020],
: [http://dx.doi.org/10.1109/worlds4.2019.8904020 http://dx.doi.org/10.1109/worlds4.2019.8904020]

* [https://research.tue.nl/en/publications/an-integrated-framework-for-autonomous-driving-object-detection-l https://research.tue.nl/en/publications/an-integrated-framework-for-autonomous-driving-object-detection-l],
: [https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2Ff87b6a0e-b82e-48f5-8252-9f767365f74c https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2Ff87b6a0e-b82e-48f5-8252-9f767365f74c],
: [https://academic.microsoft.com/#/detail/2991151855 https://academic.microsoft.com/#/detail/2991151855]

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Dubbelman et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 928642630 to Dubbelman et al 2019a

Scipediacontent: Created page with " == Abstract == In this paper, we present a deep neural network based real-time integrated framework to detect objects, lane markings, and drivable space using a monocular ca..."