Low Latency Situation Awareness for UxV Platforms

被引:0
|
作者
Berends, David C. [1 ]
机构
[1] SRI Int Sarnoff, Princeton, NJ 08540 USA
关键词
D O I
10.1117/12.918336
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Providing high quality, low latency video from unmanned vehicles through bandwidth-limited communications channels remains a formidable challenge for modern vision system designers. SRI has developed a number of enabling technologies to address this, including the use of SWaP-optimized Systems-on-a-Chip which provide Multispectral Fusion and Contrast Enhancement as well as H. 264 video compression. Further, the use of salience-based image pre-filtering prior to image compression greatly reduces output video bandwidth by selectively blurring non-important scene regions. Combined with our customization of the VLC open source video viewer for low latency video decoding, SRI developed a prototype high performance, high quality vision system for UxV application in support of very demanding system latency requirements and user CONOPS.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Distributed situation awareness for C2 platforms
    Mayk, I
    Salton, J
    Dawidowicz, E
    Wong, R
    Tran, L
    Chamberlain, S
    Brundick, F
    SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 4354 - 4359
  • [2] Situation awareness modeling for emergency management on offshore platforms
    Danial, Syed Nasir
    Smith, Jennifer
    Khan, Faisal
    Veitch, Brian
    HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2019, 9 (01)
  • [3] SEAWALL: Seamless Low Latency Cloud Platforms for the Industry 4.0
    Bacchiani, Lorenzo
    De Palma, Giuseppe
    Sciullo, Luca
    Bravetti, Mario
    Di Felice, Marco
    Gabbrielli, Maurizio
    Zavattaro, Gianluigi
    Della Penna, Roberto
    Iorizzo, Corrado
    Livaldi, Andrea
    Magnotta, Luca
    Orsini, Mirko
    2022 5TH CONFERENCE ON CLOUD AND INTERNET OF THINGS, CIOT, 2022, : 90 - 91
  • [4] Low Latency Execution Guarantee Under Uncertainty in Serverless Platforms
    HoseinyFarahabady, M. Reza
    Taheri, Javid
    Zomaya, Albert Y.
    Tari, Zahir
    PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES, PDCAT 2021, 2022, 13148 : 324 - 335
  • [5] Ultra-Low-Latency Video Encoding on Heterogenous Hardware Platforms
    Koppehel, Martin
    Pionteck, Thilo
    2020 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (ICFPT 2020), 2020, : 287 - 287
  • [6] Low-Latency FIR Filter Structures Targeting FPGA Platforms
    Benois, Piero Rivera
    Nowak, Patrick
    Zoelzer, Udo
    Eckert, Marcel
    Klauer, Bernd
    HEART 2018: PROCEEDINGS OF THE 9TH INTERNATIONAL SYMPOSIUM ON HIGHLY-EFFICIENT ACCELERATORS AND RECONFIGURABLE TECHNOLOGIES, 2018,
  • [7] The Low-Event Task Subjective Situation Awareness (LETSSA) technique: Development and evaluation of a new subjective measure of situation awareness
    Rose, Janette
    Bearman, Chris
    Dorrian, Jillian
    APPLIED ERGONOMICS, 2018, 68 : 273 - 282
  • [8] Measurement of team situation awareness in low experience level aviators
    Prince, Carolyn
    Ellis, Erica
    Brannick, Michael T.
    Salas, Eduardo
    INTERNATIONAL JOURNAL OF AVIATION PSYCHOLOGY, 2007, 17 (01): : 41 - 57
  • [9] Situation Awareness Service based on Mobile Platforms for Multilevel Intelligent Control System in Railway Transport
    Chernov, Andrey V.
    Butakova, Maria A.
    Vereskun, Vladimir D.
    Kartashov, Oleg O.
    2016 24TH TELECOMMUNICATIONS FORUM (TELFOR), 2016, : 29 - 32
  • [10] Situation awareness and safety: Contribution or confusion? Situation awareness and safety editorial
    Salmon, Paul M.
    Stanton, Neville A.
    SAFETY SCIENCE, 2013, 56 : 1 - 5