Einride's autonomous technology utilizes a sophisticated sensor fusion approach to ensure safety and reliability in varying environmental conditions. Rather than relying on a single source of information, the system integrates data from multiple sensors, including LiDAR, radar, and high resolution cameras, to build a comprehensive 3D model of the surrounding environment.
When dealing with optical illusions such as sunlight reflecting off wet pavement, the system cross-references visual data with other sensor inputs. While a camera might perceive a bright reflection as a potential object, LiDAR provides precise distance measurements that confirm the space is clear. Similarly, radar can detect the physical density and motion of actual obstacles, allowing the software to filter out transient light patterns that do not possess physical mass.
These advanced algorithms constantly evaluate the consistency of data across all sensors. If a visual input contradicts the spatial data provided by LiDAR or radar, the system identifies the visual input as an anomaly, such as glare or a reflection, rather than a physical hazard. This multi-layered validation process ensures that the vehicle maintains high levels of safety and operational efficiency in complex lighting scenarios.
