- Titel
- Time Synchronization in a Front Camera Measurement System
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-790059
- Datum der Einreichung
- 16.01.2017
- Abstract (EN)
- Nowadays due to advancements in Computer Vision algorithms, there is an increasing demand for cost effective and reliable performance evaluation of its algorithms. For objective evaluation of camera object and lane detection algorithms, generation of ground truth is important. Ground truth refers to the set of measurements known to be accurate thereby acting as reference. In context of Computer Vision, it includes a set of labeled images. However, obtaining it by direct observation is not possible. Thus, its generation is an intriguing challenge and numerous efforts have been made in accordance to that. Most commonly, it is generated manually thereby consuming lot of time, effort and money. The existing or proposed semi-automatic approaches fail to address the issues of manual ground truth generation. Currently in the Bosch Validation toolchain, synchronized reference ground truth for Bosch Camera sensor is not present and the annotation is done manually. The term 'reference ground truth' in this thesis refers to the information provided by the reference sensors. Hence, this thesis focuses on the feasibility of Ibeo reference sensors and Ibeo tool chain to obtain synchronized reference GT for enabling automatic preannotation process. The report thus highlights the details related to research, formulated concepts, employed synchronization approach and the developed label toolbox for facilitating fullautomatic pre-annotation process with Reference Sensors System. Upon visualizing the results, the need for cross calibration between Bosch camera and reference sensors is specified. Moreover, with the help of results and findings, requirements are derived to improve the proposed annotation process and to obtain more accurate reference ground truth for evaluation of Front Camera algorithms.
- Freie Schlagwörter (EN)
- Reference Ground Truth, Manual Annotation, Reference Sensors System, Front Camera, Time Synchronization
- Klassifikation (DDC)
- 004
- Normschlagwörter (GND)
- Fahrerassistenzsystem
- GutachterIn
- Prof. Dr. Dr. h.c. Wolfram Hardt
- BetreuerIn Hochschule / Universität
- Dipl.-Inf. René Schmidt
- BetreuerIn - externe Einrichtung
- Dipl. Ing. Bane Strahinjic
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Chemnitz, Chemnitz
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa2-790059
- Veröffentlichungsdatum Qucosa
- 29.04.2022
- Dokumenttyp
- Masterarbeit / Staatsexamensarbeit
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
