TomTom and Qualcomm have announced a new project to use the Qualcomm® Drive Data Platform for high-definition map crowdsourcing, to accelerate the future of autonomous driving. TomTom’s HD Map for autonomous vehicles will now benefit from a richer set of data due to Qualcomm Technologies offering a new chip to be used in car sensors.
TomTom and Qualcomm today announced a new project to crowdsource high-definition map data. TomTom’s HD Map for autonomous vehicles will now benefit from a richer set of data due to Qualcomm Technologies offering a new chip to be used in car sensors.
Qualcomm Technologies’ Drive Data is a platform for car sensor analysis that collects and analyzes data from different vehicle sensors, supporting smarter vehicles to determine their location, monitor and learn driving patterns, perceive their surroundings and share this perception with the rest of the world reliably and accurately. TomTom’s HD Map, including RoadDNA, helps autonomous vehicles precisely locate themselves on the road and plan manoeuvres. TomTom’s HD Map can use the Qualcomm map snippets for maintenance.
Traditional development of maps requires deploying dedicated fleets of vehicles that are equipped with professional-grade sensors to collect location, raw imagery, Lidar and other data, which is then transferred, stored and processed in data centers. Now that cars are increasingly connected and equipped with a range of sensors, new and complimentary approaches become possible.
Using the capabilities of the Qualcomm Drive Data Platform, which features the Qualcomm® Snapdragon™ 820Am automotive processor, TomTom and Qualcomm Technologies aim to facilitate adding an improved, scalable and cost-efficient crowdsourcing approach to the mix of sources for HD map making. The new concept is designed to allow massive numbers of connected cars to see and understand their environment, traffic and road conditions, and support real-time input for map and road condition updates.