Vayavision Sensing, Ltd.

Vayavision Ltd.

Anna Cohen

Youval Nehmadi

Shmuel Mangan

Shmuel Ur

Mark Wagner

Ronny Cohen

Shahar Ben Ezra

Itzik Avital

Shahar Ben-Ezra

Lev Goldentouch

A perception system, comprising a set of reference sensors; a set of test sensors and a computing device, which is configured for receiving first training signals from the set of reference sensors and receiving second training signals from the set of test sensors, the set of reference sensors and the set of test sensors simultaneously exposed to a common scene; processing the first training signals to obtain reference images containing reference depth information associated with the scene; and using the second training signals and the reference images to train a neural network for transforming subsequent test signals from the set of test sensors into test images containing inferred depth information.

Methods and systems for training and validating a perception system

A system and method for generating a high-density three-dimensional (3D) map are disclosed. The system comprises acquiring at least one high density image of a scene using at least one passive sensor; acquiring at least one new set of distance measurements of the scene using at least one active sensor; acquiring a previously generated 3D map of the scene comprising a previous set of distance measurements; merging the at least one new set of distance measurements with the previous set of upsampled distance measurements, wherein merging the at least one new set of distance measurements further includes accounting for a motion transformation between a previous high-density image frame and the acquired high density image and the acquired distance measurements; and overlaying the new set of distance measurements on the high-density image via an upsampling interpolation, creating an output 3D map.

Method and system for generating multidimensional maps of a scene using a plurality of sensors of various types

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Holon, Israel

Anna Cohen