Abstract: Disclosed are autonomous vehicles, systems, and methods that rely on the fusing of primary and secondary sensor signal data for navigating an autonomous vehicle. The primary sensor may have greater detection capabilities than the secondary sensor, such as a primary sensor comprising a 3D LiDAR sensor and a secondary sensor comprising a 2D LiDAR sensor. The autonomous vehicle may rely on the primary sensor signal data to the exclusion of at least some of the secondary sensor signal data. The autonomous vehicle may prioritize the primary sensor signal data whenever the secondary sensor signal data conflicts with the primary sensor signal data. In some embodiments, the secondary sensor signal data may be used to increase, but not decrease, an occupancy probability of a cell used to navigate the autonomous vehicle. In some embodiments, the secondary sensor signal data may be scaled and adjusted with the primary sensor signal data.

Abstract: An electronic device for an autonomous vehicle is provided. The electronic device includes a processor and a memory storing instructions that, when executed, cause the processor to acquire sensor data from a sensor array, detect one or more objects based on the sensor data, and generate virtual boundaries for the detected objects. The processor analyzes predefined physical attributes to distinguish between permanent and temporary obstacles, selectively identifies permanent obstacles for inclusion in a digital map and transforms virtual boundaries into geo-referenced coordinates. The geo-referenced coordinates are transmitted to a base station based on predefined triggers for incorporation into the digital map used by the autonomous vehicle for navigation.