TomTom and DeepRoute.ai have integrated TomTom’s location data into DeepRoute.ai’s automated-driving stack, bringing high-detail mapping into an AI system designed to operate vehicles in complex road environments.
The companies signed a memorandum of understanding covering their technical collaboration and plan to demonstrate the integrated system on public roads during the Paris Motor Show.
The partnership highlights a persistent challenge in autonomous driving: AI must interpret more than the objects immediately visible to a vehicle. Research into human-like decision-making for safer self-driving systems has focused on how vehicles prioritize pedestrians, cyclists and other road users, while another recent framework links perception, decision-making and physical response during sudden road hazards.
TomTom argues that location intelligence supplies additional context about roads and surrounding environments that complements neural-network-based driving systems. DeepRoute.ai, meanwhile, is seeking to expand its automated-driving technology into additional international markets.
The companies have not announced a production deployment or commercial vehicle program from the partnership. For now, the Paris demonstration is intended to show how DeepRoute.ai’s driving software operates when paired with TomTom’s mapping data.