Facts

• Company: Mobileye
• Product type: Autonomy Software
• Status: development
• Website: https://www.mobileye.com/technology/rem/

Profile sections

• Summary
• Overview
• Market context
• Audience
• Workflow
• Capability
• Deployment environment
• Positioning tags
• Specifications
• Tags
• Record / Articles
• Timeline / Research
• Sources

Summary

REM, or Road Experience Management, is Mobileye crowdsourced mapping technology for autonomous and assisted driving. It uses data from Mobileye-equipped vehicles to build and refresh high-definition road maps that capture lane geometry, traffic rules and local driving context.

Overview

REM, or Road Experience Management, is Mobileye crowdsourced mapping technology for autonomous and assisted driving. It uses data from Mobileye-equipped vehicles to build and refresh high-definition road maps that capture lane geometry, traffic rules and local driving context.

Market context

Mobileye REM is a crowdsourced mapping layer that builds and updates road intelligence from fleet vehicle data for autonomous driving systems.

• Target environment: Urban roads, highways and autonomous vehicle operational domains.
• Workflow context: Crowdsourced road mapping, HD map maintenance and road-intelligence updating using production vehicle fleet data.
• Customer context: Autonomous vehicle developers and automotive OEMs using REM for mapping and localization.
• Deployment model: Commercial software data product from a publicly traded company.
• Commercial maturity: Mature mapping infrastructure with broad automotive industry adoption and real-world fleet data collection.
• Adoption constraints: Requires compatible vehicle hardware and data pipeline integration.
• Market position: Mobileye infrastructure layer for autonomy, turning production vehicle fleets into a map-update network.
• Adjacent products: Autonomous driving maps, HD mapping platforms

Audience

Auto OEMs

Workflow

Crowdsourced road mapping, HD map maintenance and road-intelligence updating using production vehicle fleet data.

Capability

Autonomous navigation

Deployment environment

Urban roads, highways and autonomous vehicle operational domains.

Positioning tags

• Audience: Auto OEMs
• Workflow: Crowdsourced road mapping, HD map maintenance and road-intelligence updating using production vehicle fleet data.
• Capability: Autonomous navigation
• Deployment environment: Urban roads, highways and autonomous vehicle operational domains.

Specifications

• Product Role: Road Experience Management mapping system
• Software Role: Crowdsourced HD mapping for autonomous vehicles
• Data Source: ADAS vehicles sending small road data packets
• Map Update Model: Near real-time updates through change-detection algorithms
• Localization Model: High-accuracy AV map and road semantics layer
• Deployment Model: Scalable crowd-sourced mapping pipeline
• Platform Type: software_system
• Platform Role: mapping_layer
• System Type: road_mapping_layer

Tags

• Peer Group: Autonomous driving map
• Workflow: Precision positioning
• Capability: Autonomous navigation
• Deployment Environment: Outdoor field environment
• Commercial Stage: Commercial product
• Market Signal: Supply-chain enabler

Record / Articles

• 2026-01-07 - Article - Mobileye agrees to acquire Mentee Robotics for $900 million

Timeline / Research

• 2026-01-06 - Acquisition - Mobileye agrees to acquire Mentee Robotics - Mobileye entered into a definitive agreement to acquire Mentee Robotics, an AI-first humanoid robotics company, for total consideration of $900 mil…