Dataset on Github
Updated on May 31, 2021 — website — 9 downloads
Description on GitHub: https://github.com/raphaelfrank/robobus
- Type
- Documentation
- MIME Type
- Created on
- May 31, 2021
- Modified on
- May 31, 2021
- Published on
- May 31, 2021
Updated on May 31, 2021 — Other (Open)
1 datasets
Academic datasets are an important source of information to validate and benchmark novel research concepts. In this paper we present RoboBus, a dataset recorded with a commercial bus on a cross-border public transport route between Luxembourg and France. The dataset contains approximately 8 hours of driving data divided into 15 trips that have been recorded over 4 days. It includes about 1.7 million anonymized images captured by two road-facing cameras, GNSS traces, data from a 9-axis IMU, and information directly retrieved from the CAN interface of the vehicle including speed, steering angle and position of the accelerator/brake pedals. We use an end-to-end autonomous driving approach that relies on imitation learning as use case example for the dataset.
Updated on May 31, 2021 — website — 9 downloads
Description on GitHub: https://github.com/raphaelfrank/robobus
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Dear Dr. Frank, We saw your project "ROBOBUS" in the web site and it would be a great pleasure to discuss further step on the subject above. We, INFINIQ are specialized in data preparation (collection/cleansing/annotation) which is available in unified service (whole process in line) or each process individually. With regard to data set for autonomous driving, we currently work with Hyundai Motors in Korea. Our aim is to accelerate our client’s AI transformation with our specialties (Flexibility – ML Ops/DL Ops tool, Scalability – high productivity with human infra, Quality – High conformity to Spec) It would be great to give our company presentation if you find interesting for your project. Should you have any questions, please feel free to contact us at your convenience. If a chance to meet is given, we would appreciate to discuss this subject together or to send some information for you. Kind regards Bernard SONG / INFINIQ EUROPE Sarl
Dear Mr Song, I have been in touch with Infiniq in the past. So far we could not find a common project. If there is a genuine interest for a research partnership feel free to reach out via email: raphael.frank@uni.lu Best regards, Raphael Frank