all AI news
Control-Aware Prediction Objectives for Autonomous Driving. (arXiv:2204.13319v1 [cs.LG])
April 29, 2022, 1:11 a.m. | Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
cs.LG updates on arXiv.org arxiv.org
Autonomous vehicle software is typically structured as a modular pipeline of
individual components (e.g., perception, prediction, and planning) to help
separate concerns into interpretable sub-tasks. Even when end-to-end training
is possible, each module has its own set of objectives used for safety
assurance, sample efficiency, regularization, or interpretability. However,
intermediate objectives do not always align with overall system performance.
For example, optimizing the likelihood of a trajectory prediction module might
focus more on easy-to-predict agents than safety-critical or rare behaviors …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Principal Data Engineer
@ RS21 | Remote
SQL/Power BI Developer
@ ICF | Virginia Remote Office (VA99)
Senior Machine Learning Engineer (Canada Remote)
@ Fullscript | Ottawa, ON
Software Engineer - MLOps.
@ Renesas Electronics | Toyosu, Japan
Junior Data Scientist / Artificial Intelligence consultant
@ Deloitte | Luxembourg, LU