Long Chen
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One Thousand and One Hours: Self-driving Motion Prediction Dataset
Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to …
John Houston
,
Guido Zuidhof
,
Luca Bergamini
,
Yawei Ye
,
Long Chen
,
Ashesh Jain
,
Sammy Omari
,
Vladimir Iglovikov
,
Peter Ondruska
November, 2021
In
Proceedings of the 2020 Conference on Robot Learning (CoRL)
PDF
Code
Dataset
Video
SimNet: Learning reactive self-driving simulations from real-world observations
In this work, we present a simple end-to-end trainable machine learning system capable of realistically simulating driving experiences. …
Luca Bergamini
,
Yawei Ye
,
Oliver Scheel
,
Long Chen
,
Chih Hu
,
Luca Del Pero
,
Błażej Osiński
,
Hugo Grimmett
,
Peter Ondruska
January, 2021
In
2021 IEEE International Conference on Robotics and Automation (ICRA)
PDF
Code
Video
What data do we need for training an av motion planner?
We investigate what grade of sensor data is required for training an imitation-learning-based AV planner on human expert demonstration. …
Long Chen
,
Lukas Platinsky
,
Stefanie Speichert
,
Błażej Osiński
,
Oliver Scheel
,
Yawei Ye
,
Hugo Grimmett
,
Luca Del Pero
,
Peter Ondruska
January, 2021
In
2021 IEEE International Conference on Robotics and Automation (ICRA)
PDF
Code
Video
Recent Developments and Future Challenges in Medical Mixed Reality
Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice. This …
Long Chen
,
Thomas Day
,
Wen Tang
,
Nigel W John
August, 2017
In
The 16th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
PDF
Semantic Augmented Reality Environment with Material-Aware Physical Interactions
In Augmented Reality (AR) environment, realistic interactions between the virtual and real objects play a crucial role in user …
Long Chen
,
Karl Francis
,
Wen Tang
January, 2017
In
The 16th IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
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