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Cybersecurity

Automotive Grade LiDAR Moves from Vehicles to Smart Intersection Infrastructure

ctadmin
Last updated: June 17, 2026 1:21 am
By
ctadmin
2 Min Read
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LiDAR Expands from Vehicles to City Infrastructure

Innoviz Technologies and Amorph Systems are demonstrating a new integration that brings automotive grade LiDAR sensing to intelligent transportation and smart city applications. The joint solution, showcased at the ITS America Conference and Expo in Detroit from June 10 to 12, 2026, combines InnovizSMART LiDAR hardware with Amorph.senses, a hardware agnostic 3D perception platform. This marks a shift from using LiDAR exclusively for vehicle perception to deploying it in intersection infrastructure for traffic safety and monitoring.

Contents
LiDAR Expands from Vehicles to City InfrastructureReal World Deployments and GDPR Compliant SoftwareImpact on Connected Vehicle and Infrastructure Ecosystems

Real World Deployments and GDPR Compliant Software

Amorph Systems, based in Stuttgart, has already deployed its platform at signalized intersections in the Netherlands. The system detects cyclists and activates driver facing lighting to alert right turning vehicles, providing a concrete example of how LiDAR based city sensing enhances road safety. The perception software is compliant with the General Data Protection Regulation (GDPR), addressing privacy concerns while converting raw LiDAR data into real time operational intelligence for transportation agencies and infrastructure operators.

Impact on Connected Vehicle and Infrastructure Ecosystems

This integration is significant for automotive cybersecurity and connected vehicle ecosystems because it extends the sensor and data chain beyond the vehicle itself into the smart city environment. As infrastructure begins to use the same automotive grade sensing technology found in advanced driver assistance systems (ADAS) and autonomous vehicles, the attack surface for data manipulation, sensor spoofing, and communication interception broadens. Transportation agencies deploying such systems must secure the LiDAR data streams and the perception software against tampering, especially as these sensors increasingly make split second decisions that affect vehicle and pedestrian safety.

Source: Automotiveworld

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