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Valeo News
Vision and Radar Fused Adaptive Cruise Control for Electric Motorcycles
Valeo deploys its Advanced Rider Assistance Systems technology with ZEEHO to integrate automotive-grade vision and radar sensor fusion into electric motorcycles.
www.valeo.com

The collaboration brings together Valeo and ZEEHO, the tech-mobility brand of CFMOTO Group, to address critical rider safety and situational awareness challenges in urban two-wheeler mobility. Modern motorcycle platforms frequently encounter tight spatial constraints, dynamic balance shifts, and complex human-machine interactions that complicate active safety deployment. To resolve these engineering hurdles, Valeo has supplied a unified hardware and software architecture designed to execute real-time threat evaluation without interfering with vehicle dynamics.
Technical Architecture and System Partitioning
The deployment utilizes a fully integrated Advanced Rider Assistance Systems architecture comprising automotive-grade front cameras, high-performance central Electronic Control Units, and proprietary perception software suites. Responsibilities are partitioned between the organizations, with Valeo engineering the end-to-end sensor fusion stack and ZEEHO integrating the platform into its next-generation electric vehicle architecture. The system processes raw data from optical and radar sensors through dedicated algorithms to compute precise risk trajectories, actively filtering out false positives to maintain reliable operation under diverse environmental conditions.
Deployment and Operational Integration
Implementation spans mass-production electric motorcycle lines following the start of production. Engineering coordination focuses on matching ruggedized electronic control units to two-wheeler thermal and spatial envelopes while keeping power consumption minimal. The software architecture coordinates multiple functional safety layers, utilizing standardized data exchange protocols internally to synchronize real-time inputs across safety modules.
Applications and Operational Impact
Target applications cover urban commuting and high-performance electric two-wheelers operating in dense mixed-traffic environments. Concrete technical use cases encompass Forward Collision Warning, Blind Spot Detection, Lane Change Assist, Lead Vehicle Departure Notification, Rear Collision Warning, and Adaptive Cruise Control. The operational benefit lies in establishing a continuous 360-degree safety envelope that assists riders through automated deceleration and proximity alerts, directly mitigating the vulnerability of riders in high-density traffic.
Edited by Sucithra Mani, Induportals editor – adapted by AI.
www.valeo.com


