MULTIMODAL OBJECT DETECTION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS

Abstract: in various examples, a hazard detection system fuses outputs from multiple sensors over time to determine a probability that a stationary object or hazard exists at a location. the system may then use sensor data to calculate a detection bounding shape for detected objects and, using the bounding shape, may generate a set of particles, each including a confidence value that an object exists at a corresponding location. the system may then capture additional sensor data by one or more sensors of the ego-machine that are different from those used to capture the first sensor data. to improve the accuracy of the confidences of the particles, the system may determine a correspondence between the first sensor data and the additional sensor data (e.g., depth sensor data), which may be used to filter out a portion of the particles and improve the depth predictions corresponding to the object.

Inventor(s): Gang Pan, Joachim Pehserl, Dong Zhang, Baris Evrim Demiroz, Samuel Rupp Ogden, Tae Eun Choe, Sangmin Oh

CPC Classification: G01S13/931 (RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES)

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