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Software: Reactive Driving Support - CrowdBot Release

David Gonon; Diego F. Paez G.; Aude Billard


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>This first software&nbsp;release includes the main Reactive Driving Support (RDS), a method for robots to avoid imminent collisions with moving obstacles, which has been developed as part of research at LASA, EPFL.</p>\n\n<p>It is included documentation for its simple implementation through ROS wrapper that includes methods for both non-holonomic robots, as well as, holonomic robots. The main input is obstacles&#39; location and velocity which can be pre-processed dynamic obstacles tracking (e.g., yolo people detector) or raw proximity data (e.g., lidar point-clouds projected in 2D).</p>\n\n<p>The main package was developed in C++, and has been tested with the robot Qolo with an average frequency of 150Hz for 2 LIDAR inputs in a single core i7 2.2 Ghz.</p>", 
  "license": "https://opensource.org/licenses/MIT", 
  "creator": [
    {
      "affiliation": "LASA-EPFL", 
      "@type": "Person", 
      "name": "David Gonon"
    }, 
    {
      "affiliation": "LASA-EPFL", 
      "@id": "https://orcid.org/0000-0002-6143-1432", 
      "@type": "Person", 
      "name": "Diego F. Paez G."
    }, 
    {
      "affiliation": "LASA-EPFL", 
      "@type": "Person", 
      "name": "Aude Billard"
    }
  ], 
  "url": "https://zenodo.org/record/4545820", 
  "codeRepository": "https://github.com/epfl-lasa/rds/tree/v1.0.0", 
  "datePublished": "2021-02-17", 
  "version": "v1.0.0", 
  "keywords": [
    "obstacle avoidance", 
    "service robots", 
    "robot navigation", 
    "non-holonomic robots"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4545820", 
  "@id": "https://doi.org/10.5281/zenodo.4545820", 
  "@type": "SoftwareSourceCode", 
  "name": "Software: Reactive Driving Support - CrowdBot Release"
}
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