all AI news
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems. (arXiv:2109.06404v3 [cs.RO] UPDATED)
May 26, 2022, 1:11 a.m. | Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray
cs.LG updates on arXiv.org arxiv.org
Advanced Driver-Assistance Systems (ADAS) have been thriving and widely
deployed in recent years. In general, these systems receive sensor data,
compute driving decisions, and output control signals to the vehicles. To
smooth out the uncertainties brought by sensor outputs, they usually leverage
multi-sensor fusion (MSF) to fuse the sensor outputs and produce a more
reliable understanding of the surroundings. However, MSF cannot completely
eliminate the uncertainties since it lacks the knowledge about which sensor
provides the most accurate data and …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Vice President, Data Science, Marketplace
@ Xometry | North Bethesda, Maryland, Lexington, KY, Remote
Field Solutions Developer IV, Generative AI, Google Cloud
@ Google | Toronto, ON, Canada; Atlanta, GA, USA