all AI news
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks
March 26, 2024, 4:47 a.m. | Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar, Senthil Yogamani
cs.CV updates on arXiv.org arxiv.org
Abstract: Autonomous driving systems require extensive data collection schemes to cover the diverse scenarios needed for building a robust and safe system. The data volumes are in the order of Exabytes and have to be stored for a long period of time (i.e., more than 10 years of the vehicle's life cycle). Lossless compression doesn't provide sufficient compression ratios, hence, lossy video compression has been explored. It is essential to prove that lossy video compression artifacts …
abstract arxiv autonomous autonomous driving autonomous driving systems building collection compression cs.ai cs.cv data data collection diverse driving impact perception robust systems tasks type video video compression visual
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
2 days, 12 hours ago |
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
Research Scientist, Demography and Survey Science, University Grad
@ Meta | Menlo Park, CA | New York City
Computer Vision Engineer, XR
@ Meta | Burlingame, CA