Deep Neural Networks and Data for Automated Driving
Springer International Publishing
Chapter title |
Uncertainty Quantification for Object Detection: Output- and Gradient-Based Approaches
|
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Chapter number | 9 |
Book title |
Deep Neural Networks and Data for Automated Driving
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-01233-4_9 |
Book ISBNs |
978-3-03-101232-7, 978-3-03-101233-4
|
Authors |
Riedlinger, Tobias, Schubert, Marius, Kahl, Karsten, Rottmann, Matthias |
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 50% |
Student > Postgraduate | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 100% |