all AI news
MEAT: Maneuver Extraction from Agent Trajectories. (arXiv:2206.05158v1 [cs.CV])
June 13, 2022, 1:11 a.m. | Julian Schmidt, Julian Jordan, David Raba, Tobias Welz, Klaus Dietmayer
cs.LG updates on arXiv.org arxiv.org
Advances in learning-based trajectory prediction are enabled by large-scale
datasets. However, in-depth analysis of such datasets is limited. Moreover, the
evaluation of prediction models is limited to metrics averaged over all samples
in the dataset. We propose an automated methodology that allows to extract
maneuvers (e.g., left turn, lane change) from agent trajectories in such
datasets. The methodology considers information about the agent dynamics and
information about the lane segments the agent traveled along. Although it is
possible to use …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York