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MobileyeLinkedIn

Mobileye discusses how Road Experience Management and crowdsourced data enhance driver-assist systems.

Source

LinkedInAug 6, 2026
likes
103
comments
2

Post

As advanced driver-assist systems move from conventional lane support toward more capable hands-off, eyes-on experiences, the role of road context is becoming increasingly important. In this edition, we spoke with Mobileye’s REM product director Daniel Kosteniov about how Mobileye Road Experience Management™ turns anonymized, crowdsourced road data from production vehicles into compact road intelligence. The discussion explores why REM is more than a conventional HD map, how it complements real-time perception, and why scalable, continuously refreshed lane-level context matters for the next generation of advanced driver-assist and automated driving systems.

linkedin.com/posts/mobileye_as-advanced-driver-assist-systems-move-fr...Read the full source

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From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

The full record

From the Signal API record

Topics and mentions

Tags

  • Autonomous Technology
  • Artificial Intelligence
  • Product Development
  • Big Data
  • Data Management

Initiatives

  • developing hands-off
  • eyes-on driving experiences
  • enhancing advanced driver-assist systems
  • developing hands-off, eyes-on driving experiences

Technologies named

  • Mobileye Road Experience Management
  • HD map

Extraction

Detected
Aug 13, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

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This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
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GET /v1/signals/df7551d7-56c2-439b-b88e-77e013cf9dd9 returns this record as JSON. POST /v1/companies/enrich returns every signal for mobileye.com.

{
  "signal_id": "df7551d7-56c2-439b-b88e-77e013cf9dd9",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-08-13T11:58:24.939+00:00",
  "company": {
    "name": "Mobileye",
    "domain": "mobileye.com"
  },
  "data": {
    "tags": [
      "Autonomous Technology",
      "Artificial Intelligence",
      "Product Development",
      "Big Data",
      "Data Management"
    ],
    "summary": "Mobileye discusses how Road Experience Management and crowdsourced data enhance driver-assist systems.",
    "post_url": "https://www.linkedin.com/posts/mobileye_as-advanced-driver-assist-systems-move-from-activity-7491103693149503488-lGxg",
    "num_likes": 103,
    "post_text": "As advanced driver-assist systems move from conventional lane support toward more capable hands-off, eyes-on experiences, the role of road context is becoming increasingly important.\n\nIn this edition, we spoke with Mobileye’s REM product director Daniel Kosteniov about how Mobileye Road Experience Management™ turns anonymized, crowdsourced road data from production vehicles into compact road intelligence.\n\nThe discussion explores why REM is more than a conventional HD map, how it complements real-time perception, and why scalable, continuously refreshed lane-level context matters for the next generation of advanced driver-assist and automated driving systems.",
    "initiatives": [
      {
        "topic": "developing hands-off, eyes-on driving experiences",
        "urgency": 0.7
      },
      {
        "topic": "enhancing advanced driver-assist systems",
        "urgency": 0.7
      }
    ],
    "posted_date": "2026-08-06T12:11:38.423Z",
    "num_comments": 2,
    "technologies_mentioned": [
      {
        "name": "Mobileye Road Experience Management",
        "status": "using"
      },
      {
        "name": "HD map",
        "status": "integrated"
      }
    ]
  }
}

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