Case Study: Valeo achieves multi-sensor localization for safer automated driving with TomTom

Valeo and TomTom Reaching the next level of automated driving

The automotive supplier Valeo faced a challenge in advancing automated driving systems. Their existing mono-sensor localization approach was vulnerable; if a single sensor failed or map data was invalid, it could dramatically impact a vehicle's ability to operate safely. To reach higher levels of automation, they collaborated with vendor TomTom to create a more robust solution.

TomTom's solution integrated its HD Map and RoadDNA localization suite with Valeo's LiDAR and software. This multi-sensor approach harnessed multiple data layers, allowing a vehicle to accurately determine its location even if one sensor failed or visibility was poor. Successful driving tests in three major cities proved the concept, marking a significant milestone. This redundancy, delivered by TomTom, significantly improves system robustness and safety, moving the industry closer to making highly automated vehicles the norm.

Valeo

Antoine Lafay

Driving Assistance Research Director