Name
Abstract | ||
|---|---|---|
Full-stack autonomous driving perception modules usually consist of data-driven models based on multiple sensor modalities. However, these models might be biased to the sensor setup used for data acquisition. This bias can seriously impair the perception models’ transferability to new sensor setups, which continuously occur due to the market's competitive nature. We envision sensor data abstractio... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISC253183.2021.9562912 | 2021 IEEE International Smart Cities Conference (ISC2) |
Keywords | DocType | ISSN |
Laser radar,Smart cities,Conferences,Data acquisition,Machine learning,Cameras,Data models | Conference | 2687-8852 |
ISBN | Citations | PageRank |
978-1-6654-4919-9 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hannes Reichert | 1 | 0 | 0.68 |
| Lukas Lang | 2 | 0 | 0.34 |
| Kevin Rösch | 3 | 0 | 0.34 |
| Daniel Bogdoll | 4 | 0 | 1.69 |
| Konrad Doll | 5 | 0 | 0.34 |
| Bernhard Sick | 6 | 0 | 0.34 |
| Hans-Christian Reuss | 7 | 1 | 2.42 |
| Christoph Stiller | 8 | 0 | 0.34 |
| J. Marius Zöllner | 9 | 0 | 0.34 |