About Us Our Technology Fleets Data Services Blog Newsroom Contact Us True RedundancyTM The Realistic Path to Deploying AVs at Scale Radar/LiDAR Camera Mobileye has built two development AVs: An AV that can drive on cameras alone An AV that can drive on radar/LiDAR alone When combined into a production-ready AV, the camera subsystem is the backbone of the AV, while the radar-LiDAR subsystem is added to provide enhanced safety and a significantly higher mean time between failures (MTBF). True Redundancy What's Behind the Name? Sensor redundancy is meant to ensure that sensors serve as back-ups for one another. But we often see complementary, not redundant, sensors – where cameras and radar or LiDAR each sense certain elements of the environment, which are then combined to build a single world model. At Mobileye, we task both channels – camera and radar-LiDAR – with sensing all elements of the environment and each building a full model. This is True Redundancy. Radar & LiDAR Development to Achieve True Redundancy Mobileye has revolutionized computer vision algorithms for autonomous driving. Now, we are also revolutionizing radar and LiDAR developed specifically for self-driving applications. LEARN MORE How is this AV R&D impacting ADAS today? Because we have created a camera-only subsystem that can drive on its own, this technology can be deployed directly to our broad range of advanced driver assistance systems today. The clearest example of this is Mobileye Supervision™ With the technology from our camera-only subsystem and surround-view, Mobileye SuperVision is the first ADAS solution that can benefit directly from Mobileye's on-going AV R&D. Learn more Creating a World Model Mobileye's differentiated approach to environmental modeling is the essence of True Redundancy - we not only offer truly redundant sensors, but also multiple, truly redundant world models. A Realistic Path to Getting AVs on the Road For AVs to be safe enough to be introduced to today’s roads, they need to be several orders of magnitude safer than human drivers. That requires hundreds of millions of hours of data for validation of these self-driving systems. But is that really feasible? Mobileye is proposing True Redundancy as an alternative approach. Common Industry Approach With sensor fusion that is done before creation of the environmental model, each software update to the AV would require hundreds of millions of hours of data for validation. Low Level Sensor Fusion Data needed for validation Mobileye Approach The True Redundancy approach allows for a significantly lighter validation burden – only tens of thousands of hours of validation sets are needed to show the channel meets the needed accuracy. Camera subsystem × Radar/LiDAR subsystem Data needed for validation Legend Tens of thousands of hours Millions of hours Hundreds of millions of hours “True redundancy provides two major advantages: The amount of data required to validate the perception system is massively lower … in the case of a failure of one of the independent systems, the vehicle can continue operating safely in contrast to a vehicle with a low level fused system that needs to cease driving immediately.” Amnon Shashua Contact Us First Name Last Name Email Country Country Afghanistan Aland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Antarctic Territory British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Canton and Enderbury Islands Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos [Keeling] Islands Colombia Comoros Congo - Brazzaville Congo - Kinshasa Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Dronning Maud Land East Germany Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern and Antarctic Territories French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Honduras Hong Kong SAR China Hungary Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Johnston Island Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau SAR China Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Metropolitan France Mexico Micronesia Midway Islands Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar [Burma] Namibia Nauru Nepal Netherlands Antilles Netherlands Neutral Zone New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea North Vietnam Northern Mariana Islands Norway Oman Pacific Islands Trust Territory Pakistan Palau Palestinian Territories Panama Canal Zone Panama Papua New Guinea Paraguay People's Democratic Republic of Yemen Peru Philippines Pitcairn Islands Poland Portugal Puerto Rico Qatar Réunion Romania Russian Federation Rwanda Saint Barthélemy Saint Helena Saint Kitts and Nevis Saint Lucia Saint Martin Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa San Marino São Tomé and Príncipe Saudi Arabia Senegal Serbia and Montenegro Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and the South Sandwich Islands South Korea Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu U.S. Minor Outlying Islands U.S. Miscellaneous Pacific Islands U.S. Virgin Islands Uganda Ukraine Union of Soviet Socialist Republics United Arab Emirates United Kingdom United States Unknown or Invalid Region Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Wake Island Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe Your Message What best describes you? 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