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Mendeley readers
| Chapter title |
Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges
|
|---|---|
| Chapter number | 5 |
| Book title |
Development and Analysis of Deep Learning Architectures
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-31764-5_5 |
| Book ISBNs |
978-3-03-031763-8, 978-3-03-031764-5
|
| Authors |
Michelle Karg, Christian Scharfenberger |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Researcher | 2 | 13% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 38% |
| Engineering | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Arts and Humanities | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |