Self-Healing Maps for Autonomous Driving. Sanjay Sood GPU Conference May 10, 2017

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1 Self-Healing Maps for Autonomous Driving Sanjay Sood GPU Conference May 10, 2017

2 HERE Technologies 200 Countries mapped 7,000+ Employees in 56 countries focused on delivering the world s best map and location services Millions of changes made to the map every day Today, HERE provides services to nearly all global OEM brands as well as many market leading brands such Microsoft, Amazon, Facebook etc. 30+ In-car navigation systems in Europe 4of5 and N America use HERE maps Years of experience transforming mapping technology

3 HERE Technologies We are making sense of the world through the lens of location, helping people achieve better outcomes through data-driven location solutions

4 Maps for cars by cars

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6 HERE s HD Live Map solves several major problems Local knowledge of the rules of the road Enhanced sensor functionality for contextual awareness of the environment Planning of vehicle control maneuvers beyond sensor visibility Precise positioning for lateral & longitudinal control

7 The industry has evolved, providing new possibilities for cars Connected Intelligent

8 Building the high definition map GPS Antenna 41.3º 700,000 Points Per Second LiDAR Proprietary cameras 96.4 MP every 6 meters Novatel GPS/INS

9 A high definition, continuously updated map requires the crowd Harness crowdsourced sensor data High definition map For near realtime updates

10 11 Map Machine learning will be critical for self-driving cars

11 The self-healing map process Polylines (lane markings, road edges ) 2 3 Many to one Points (signs, signals, pavement Localization Drive paths markings ) Change detection Map Observations Aggregation Features update SENSORIS SDRI Sensor collection Aggregation in Creation (Campaign of a management) & ingestion the cloud OEM Cloudnew feature 1OEM sensor observations Internal HD map Publish 4Update map & publish HD Live Map HD map tiles

12 The self-healing map process Polylines (lane markings, road edges ) Drive paths Points (signs, signals, pavement markings ) Many to one Localization Change detection Observations Aggregation Features Map update Internal HD map Publish SENSORIS OEM Cloud SDRI (Campaign management) HD Live Map OEM sensor observations HD map tiles

13 The self-healing map process Polylines (lane markings, road edges ) Drive paths Points (signs, signals, pavement markings ) Many to one Localization Change detection Observations Aggregation Features Map update Internal HD map Publish SENSORIS OEM Cloud SDRI (Campaign management) HD Live Map OEM sensor observations HD map tiles

14 The self-healing map process Polylines (lane markings, road edges ) Drive paths Points (signs, signals, pavement markings ) Many to one Localization Change detection Observations Aggregation Features Map update Internal HD map Publish SENSORIS OEM Cloud SDRI (Campaign management) HD Live Map OEM sensor observations HD map tiles

15 The self-healing map process Polylines (lane markings, road edges ) Drive paths Points (signs, signals, pavement markings ) Many to one Localization Change detection Observations Aggregation Features Map update Internal HD map Publish Protobuf NDS SENSORIS OEM Cloud SDRI (Campaign management) HD Live Map OEM sensor observations HD map tiles

16 Cloud and edge analytics: What to do where, best? Polylines (lane markings, road edges ) Drive paths Points (signs, signals, pavement markings ) Many to one Localization Change detection Observations Aggregation Features Map update Internal HD map Publish Protobuf NDS SENSORIS Campaign mngt. & fleet requests OEM Cloud SDRI (Campaign management) HD Live Map OEM sensor observations HD map tiles

17 Summary Vehicles today are connected and becoming more intelligent Intelligent cars need a high definition map An HD map needs the ability to heal itself via the crowd Self-healing maps require large amounts of vehicle sensor data 21

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