2024 BrainChip Discussion, page-8269

Thoughts?

Appears to be a division of Valeo obviously.

Haven't dug into the patent as most of it probs over my head but I have some suspicions

METHOD OF RECONSTRUCTING A PROPERTY OF AN IMAGE AND COMPUTING DEVICE

	Application Number	EP2024052574
1	Publication Number	2024/160994
2	Status	In Force
3	Filing Date	2024-02-02
4	Publication Date	2024-08-08
5	Owner	VALEO SCHALTER UND SENSOREN GMBH (Germany)
6	Inventor	Nagiub, Mena

Abstract
The present application relates to aMethod of reconstructing a property of an image in a sequence of images with a spiking neural network.The method comprises: obtaining raw data of the image (RDt), calculating a similarity measure using raw data of the image (RDt) and raw data of a previous image (RDt-1) preceding the image in the sequence, if the similarity measure exceeds a predefined threshold: -generating a spike train (ST) for the spiking neural network, the spike train(ST) comprising data encoding differential raw data, wherein the differential raw data (DRD) has been calculated using raw data of the im-age and raw data of the previous image (RDt, RDt-1), -inputting the spike train (ST) to the spiking neural network, - reconstructing the property of the image with the spiking neural network, - outputting the property of the image. The application further relates to a computing device (34), a lidar system (30) comprising the computing device (34) and a vehicle (100) comprising the lidar system (30).
IPC Classes?

• G01S 17/89- Lidar systems, specially adapted for specific applications for mapping or imaging
• G01S 17/931- Lidar systems, specially adapted for specific applications for anti-collision purposes of land vehicles
• G06V 10/82- Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 20/56- Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
• G01S 7/4865- Time delay measurement, e.g. time-of-flight measurement, time of arrival measurement or determining the exact position of a peak
• G06N 3/049-Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs