Occupancy Grid Fusion Prototyping Using Automotive Virtual Validation Environment

被引:8
|
作者
Markiewicz, Pawel [1 ,2 ]
Kogut, Krzysztof [2 ]
Rozewicz, Maciej [2 ,3 ]
Skruch, Pawel [2 ,3 ]
Starosolski, Roman [1 ]
机构
[1] Silesian Tech Univ, Ul Akad 16, PL-44100 Gliwice, Poland
[2] Aptiv Serv Poland SA, Ul Podgorki Tynieckie 2, PL-30399 Krakow, Poland
[3] AGH Univ Sci & Technol, Al A Mickiewicza 30, PL-30059 Krakow, Poland
关键词
Occupancy Grid; Sensor Fusion; Inverse Sensor Model; ADAS; Automated Driving;
D O I
10.1145/3284516.3284540
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper walks through the occupancy grid fusion algorithm prototyping process. The implementation consists of core fusion algorithms using probability derived from inverse sensor models. Preliminary results are obtained using an automotive virtual validation tool and phenomenological sensor models of radars, lidars and selected functions of vision sensors. The purpose of the developed framework is to perform a relative performance assessment between certain grid computation and fusion methods. Assessment is carried out by comparing computed results with reference data. Virtual validation is used to enable quick and cost effective reference data generation in comparison to real world testing.
引用
收藏
页码:81 / 85
页数:5
相关论文
共 50 条
  • [11] Experience with a Virtual Laboratory Environment Using Grid
    Grosclaude, Eduardo
    Lopez Luro, Francisco
    Leandro Bertogna, Mario
    Naiouf, Marcelo
    De Giusti, Armando
    [J]. IBERGRID: 1ST IBERIAN GRID INFRASTRUCTURE CONFERENCE PROCEEDINGS, 2007, : 385 - 388
  • [12] High Level Sensor Data Fusion for Automotive Applications using Occupancy Grids
    Garcia, Ruben
    Aycard, Olivier
    Vu, Trung-Dung
    Ahrholdt, Malte
    [J]. 2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4, 2008, : 530 - +
  • [13] Prototyping of automotive control systems in a time-triggered environment using FlexRay
    Stroop, Joachim
    Stolpe, Ralf
    [J]. 2006 IEEE CONFERENCE ON COMPUTER-AIDED CONTROL SYSTEM DESIGN, VOLS 1 AND 2, 2006, : 518 - +
  • [14] The virtual automotive learning environment
    Bullen, PR
    Haddleton, F
    Taylor, PB
    Young, M
    Chatterton, PF
    [J]. INTERNATIONAL CONFERENCE ON EDUCATION IN AUTOMOTIVE ENGINEERING, 1999, 1999 (10): : 77 - 87
  • [15] Using virtual prototyping
    Devulapalli, B
    [J]. SOLID STATE TECHNOLOGY, 2003, 46 (09) : 26 - +
  • [16] Fusion of multi-view silhouette cues using a space occupancy grid
    Franco, JS
    Boyer, E
    [J]. TENTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1 AND 2, PROCEEDINGS, 2005, : 1747 - 1753
  • [17] Occupancy Grid Mapping for Automotive Driving Exploiting Clustered Sparsity
    Onen, Cagan
    Pandharipande, Ashish
    Joseph, Geethu
    Myers, Nitin Jonathan
    [J]. IEEE SENSORS JOURNAL, 2024, 24 (07) : 9240 - 9250
  • [18] Virtual Prototyping and Validation of an Automatic Washing Machine
    Fu, Sufang
    Gao, Han
    Zhang, Qiuju
    Chen, Xiqu
    Zhang, Xueming
    [J]. MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-5, 2010, 97-101 : 3387 - +
  • [19] Enhancement of LiDAR Data Association and Fusion Using Imaging Radar Grid-Maps for Advanced Automotive Environment Perception
    Alqaderi, Hosam
    Schulz, Raymond
    [J]. 2018 INTERNATIONAL CONFERENCE ON SIMULATION OF SEMICONDUCTOR PROCESSES AND DEVICES (SISPAD 2018), 2018,
  • [20] Enhancement of LiDAR Data Association and Fusion Using Imaging Radar Grid-Maps for Advanced Automotive Environment Perception
    Alqaderi, Hosam
    Schulz, Raymond
    [J]. 2018 SYMPOSIUM ON SENSOR DATA FUSION: TRENDS, SOLUTIONS, APPLICATIONS (SDF), 2018,