SCALING DIGITAL MAPS ACROSS ADAS USE CASES

Vincent Demuynck
TomTom Automotive
April 2023
Scaling digital maps
across ADAS use cases

Introduction
Multi-source HD maps
TomTom Maps Platform
Q&A
Agenda

TomTom Automotive
• Location technology
supplier, supplying >50 car
brands
• $ 250m revenue in FY 2022
• $ 2.2 billion deal backlog
TomTom Automotive and automated driving offering
5 All rights reserved © 2023 TomTom

Automotive North America
• Offices in NH, MI and CA
• Major customers include
Stellantis, Ford and Toyota
• 47% market share
TomTom Automotive
brands

Global ADAS and AD
customers
• 10 million L1-L3 cars on the
road with TomTom maps
today
• 3 OEMs launching in 2023
with TomTom High-Definition
Maps, for L2+ and L3 use
cases
Automotive North America
• Offices in NH, MI and CA
• Major customers include
Stellantis, Ford and Toyota
• 47% market share
TomTom Automotive
brands

Today: navigation maps to L3 automated driving

Standard definition map for navigation

Augmented with ADAS content for L0-2 driver assistance systems

Separate HD map for L2+ and L3 use cases

COMFORT
EFFICIENCY SAFETY
The pillars of Automated Driving

The pillars of Automated Driving
DRIVING
POLICY
SENSING
MAPPING ACTUATORS
All rights reserved © 2023 TomTom
13

The role of High-Definition (HD) Maps in AD/ADAS

The role of HD Maps in Automated Driving
PATH PLANNING
LOCALIZATION
PERCEPTION

Every L2-L3 system in the market uses a digital map!
Mercedes Drive Pilot
Stellantis Active
Driving Assist
Nissan ProPilot2
Toyota TM20
Ford BlueCruise

Scaling faster across use cases and geographies
Multi-source HD maps
17

Fusion -
Preprocessing
Building the multi-source HD Map
PRIMARY
SOURCE
Survey Vehicles
Sensor derived
observations
GPS probe data
Arial imagery HD
sources
Fleet cam partners

Fusion -
Preprocessing Raw attributes
Map ready
features with
confidence
PRIMARY
SOURCE
Survey Vehicles
Sensor derived
observations
GPS probe data
Arial imagery HD
sources
Fleet cam partners

Fusion -
Preprocessing Raw attributes
Map ready
features with
confidence
TomTom
Maps platform
PRIMARY
SOURCE
Survey Vehicles
Sensor derived
observations
GPS probe data
Arial imagery HD
sources
Fleet cam partners

Overview of all possible attributes. Final product may vary
Multi-source HD map: features and use cases
Lanes
1
Localization
content
Behavioral
attributes

• Lane geometries
• Lane topologies
• Lane attributes
Lanes
• Lane level localization
• Trajectory planning
• Path planning

Localization
content
• Continuous localization
• Landmark localization
• Private localization content
• Poles, Traffic Lights
• Road edges
• Overhead structures

Behavioral
attributes
• Lane level localization
• Path planning
• Trajectory planning
• Specific to highways and dedicated urban roads
• Examples: stop lines, crossings, shoulder lanes, etc.

• SDOs are generated by the vision and positioning systems of OEM vehicles in the field
• We source anonymous SDO from multiple suppliers, which are collected continuously
• Processing includes decoding, trajectory refinement, data alignment and aggregation
Introduction to sensor derived observations (SDO)

Visualization of SDO in California

Demonstrating multi-source HD Maps
28

• Aptiv and TomTom have been collaborating
for several years, both regarding Truck
navigation and AD on highways
• At CES 2023, TomTom supplied the multi-
source HD map to enable an urban L2+
Aptiv “ride-and-drive” demo
Aptiv demo at CES 2023 with TomTom maps
29
• Aptiv’s Gen 6 ADAS platform provides the
highest possible feature availability with a
cost and compute efficient approach
• TomTom multi-source HD map overlayed
with Aptiv radar localization layer

Industry leadership is successfully combining
the best of all sources onto a Single Base Map

TomTom, Amazon Web Services,
Meta and Microsoft join forces and
launch open map data foundation

Collaborative mapping with the new
TomTom Maps platform
Produces
consistent and quality
guaranteed geolocation data
Increases
flexibility and ownership of
private (localization) layers
Scales
multi-source mapping onto a
single base map
33
33

Layers Multi Sources Example
TomTom Maps platform and contributors
• Road network
• Buildings footprints
• Points of interest (e.g. restaurants)
Single base map

• Road network
• Street names, addresses
• Routing restrictions
• Lane attributes
• Localization layers
• Behavioral attributes
Single base map
TomTom value added
layers

Single base map
TomTom value added
layers
3rd party (private)
layers
• Road network
• Street names, addresses
• Routing restrictions
• Lane attributes
• Localization layers
• Behavioral attributes
• Radar localization layer

Conclusion
• Maps for ADAS/AD are everywhere!
• Building multi-source maps with sensor derived
observations (SDO)
• TomTom differentiator: leading open base map,
unified with HD features and your private layers

SCALING DIGITAL MAPS ACROSS ADAS USE CASES

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SCALING DIGITAL MAPS ACROSS ADAS USE CASES