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MACROCELLS IN RASTERS FOR DRIVING, TRAIN CONTROL, ANTI-COLLISION
[Category : - Audio - Video]
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“Vehicle driving using GPU computing for real-time object risk processing”
This recently granted patent contains complex concepts of turning GPU's into autonomous vehicle computing components. This patent leverages aspects already developed in previous MiMax patents such as multiple GPU''s and improved performance by making use of phase locking the GPU's and by making use of macro cell-blitter functions that most GPUs have.
Methodologies that utilize frame locked multiple GPU’s along with the multiple video raster’s in each GPU, provide the fastest processing, lowest development cost, lowest production cost, and lowest wattage consumption versus typical general-purpose processors running software.
Automobile, truck or train driving and collision avoidance calculations for vehicle management are very demanding for digital data processing to achieve final control results in the required reaction times.
The patent includes a system for detection and vehicle control that includes multiple GPU rasters in a series data processing configuration. The patent addresses control data processing for object to object or object to moving entity, and key performance features include fast hypotenuse calculation, a real-time frame locked raster system, low cost, and low wattage. Using raster scanning of position changing pixels or macrocells via the GPU feature of continuous raster scanning creates real-time rise and run distance data.
GPU raster’s can process pixelated sensor and prior stored data to create compressed macrocells (digital data stored in pixel format, such as 16, 18, 24 or 32 bits per pixel) that are typically a reduction of 10 to 1 in data size, that hold maximum, minimum, or average values (representing size, distance from ego vehicle, movement vector) from a larger group of pixel data moving objects.
This high-speed multi-GPU data processing provides a real-time decision-making process to a vehicle's controls that would otherwise be too slow with typical processors and software that have multiple layers of sub-routines and the typical times lost in subroutine routine stack processing.
Applying GPU methodologies also inherently improves the real-time reliability of the data processing system computing object data collisions and collision avoidance. An added benefit is the ability to provide a data output version that can be graphically shown to the human eye, for easy human understanding, both for real-time viewing or post event review. These methods provide driving commands to the vehicle’s controls that have improved deterministic outcomes and reduced latencies.
Further, the use of GPU rasters for driving control records an accurate history of the driving environment, and inherently creates a human viewable display of the real-time driving scenarios.
This is a patent consisting of detailed methodologies. The many page patent includes multiple implementation drawings and has the potential to be the most valuable patent of the group.
Application Opportunities
Enabling advanced driver-assistance systems or self-driving vehicles to execute safety-related, autonomous driving maneuvers, including collision avoidance, in real-time control of moving passenger and cargo vehicles, such as automobiles, trucks, buses, trains, aircraft, motorcycles, boats, and the like.
MiMax Vehicle Control and Safety Description
Automobile, truck or train driving and collision avoidance calculations for vehicle management, are very demanding for digital data processing to achieve final control results in the required reaction times. Collision avoidance calculations for vehicle control must be done faster than classic processors and software can manage, as input to driving control is typically needed faster than 1/6th of a second. Performance should exceed the performance of a human driver; a desired goal is to perform at least twice as fast as a human.
So far vehicles using some form of auto-driving, have a decidedly mixed record and the electronics involved can generate up to a 1000 watts of electronics heat.
Current implementations consist of a combination using sensors and other external sources of real-time incoming data about location objects, location of the road, weather, pedestrians and more, along with processors, computer programs, and data inputs. The round-robin and interrupt software methodologies are not yet able to imitate much less provide more reliability than human drivers.
Changing the speed using these methodologies forces the need for delay functions in every single interrupt and C-program function, and of the round robin loop at each function’s periodic start time in the loop. It is difficult to slow down and speed up the processes consistently. MiMax technologies provides an excellent approach for better change response in vehicle driver system involving Human in the Loop.
The auto-driving system must provide fast and reliable control outputs.
MiMax video GPU raster technology is conceptually a faster method.
The system must be low power and lowered cost.
MiMax video GPU raster technology is a lower power method.
The system must be very deterministic. That is, validated to provide the correct control outputs under 99.999 percent (five-nines reliability) of driving scenarios. Using a GPU provides hard framing timing and determinism.
MiMax video GPU raster technology is perfectly deterministic.
The system must have optimized technology to move beyond typical software and hardware limits.
Multiple GPU’s as utilized by MiMax video GPU raster technology are frame locked together for the large data processing task and provide determinism.
The system must handle objects data that are constantly changing by the millisecond.
MiMax video GPU raster technology with GPU cyclic raster-blitter logic-operations provides a method that is dramatically faster than using standard database software methods.
The system must make a first pass analysis of video camera and sensor incoming data with the first step performing difference mapping.
MiMax video GPU raster technology executes this task precisely.
The system must be strongly test validated.
MiMax multi-raster frame locking provides one of the best manners to validate, by lowering the frame rate and consequently slowing the driving computer down.
Frame locked multiple GPU’s and the multiple video raster’s in each GPU methodologies provide the fastest processing, lowest development cost, lowest production cost and lowest wattage consumption versus typical general purpose processors running software.
GPU processing also inherently improves the ability to study the data processing system performance for object data collisions and collision avoidance, with a data output version that can be graphically shown to the human eye, for easy human understanding, both for real-time viewing or post event review.
GPU rasters can process pixelated data and previously stored data of objects near a moving entity. This pixelated raw input object data is used to create compressed macrocells (digital data stored in pixel format, such as 16, 18, 24, or 32 bits per pixel) that are typically a 10 to 1 reduction of data size containing maximum, minimum or average values of the physical object (representing size, color, distance from a moving entity’s movement vector).
High-speed multi-GPU data processing provides a real-time decision-making process to a vehicle’s controls that would otherwise be too slow with typical processor and software, with their multiple layers of sub-routines and time lost in subroutine stack processing, and time lost in software methods of repetitive comparing of physical object lists relationships to the moving entity.
GPU processing also inherently improves the ability to study the data processing system metadata for object data collisions and collision avoidance, with a data output version that can be graphically shown to the human eye for easy human understating, both for real-time viewing or post event review.
The use of graphics macrocells allows the final calculating rasters to be smaller, and thus can have very high frame refresh (fast continuous repeating re-scan) of all data, and thus produce a very fast reacting digital driving computer, where most of the digital work is done in GPUs using blitter circuits that perform movement and modification of pixel data within a computer’s memory at a higher speed than general purpose processors (CPUs). Using blitter circuits also frees up the bandwidth and advanced capabilities of the associated CPU to concentrate on its remaining tasks, resulting in increased overall system performance.
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1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multi-display eye strain reduction, low frame rates work better and permits overlay).
2) fast/LP/pixel compression (machine vision).
3) fast/LP/pix compress/multi-user (server farm).
4) fast/LP/macrocell compression (remote desktop, remote real-time meetings).
Market Segments- Computer GPU 2019 19.5 billion dollars
Market Segment Annual Units- 440,000,000
Percent Market Share Instantiations (PMSI)- 30
Annual Revenue Per Instantiation (RPI)- 0.1
Annual Revenue per Market Segment- 13,200,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multi-display eye strain reduction, low frame rates work better and permits overlay).
2) fast/LP/pixel compression (difference detection).
4) fast/LP/macrocell compression (remote desktop).
Market Segments- PLC (programmable logic controllers, commercial/gov)and general SCADA facility usage
2020 1.29 billion dollars
Market Segment Annual Units- 2,500,000
Percent Market Share Instantiations (PMSI)- 30
Annual Revenue Per Instantiation (RPI)- 2.1
Annual Revenue per Market Segment- 1,575,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multi-display eye strain reduction, low frame rates work better and permits overlay)
2) fast/LP/pixel compression (difference detection, instant traffic video recording, zero frame delay).
3) fast/LP/pix compress/multi-user (compress all sync-ed vehicle cameras on one chip, share common macro-cells).
4) fast/LP/macrocell compression (multiple moving objects, characterization of other vehicles/objects).
5) Active driving car control ( active safety braking/steering).
Market Segments- Automobiles 2019 2.03 trillion dollars
Market Segment Annual Units- 65,000,000
Percent Market Share Instantiations (PMSI)- 16
Annual Revenue Per Instantiation (RPI)- 37
Annual Revenue per Market Segment- 38,480,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multi-display eye strain reduction, low frame rate works better and permits overlay).
2) fast/LP/pixel compression (difference detection, instant traffic video recording, zero frame delay).
4) fast/LP/macrocell compression (multiple moving objects, characterization of other vehicles/objects).
5) Active driving car control ( active safety braking/steering, macrocell compression).
Market Segments- Medium and heavy trucks 2019
360 billion dollars
Market Segment Annual Units- 3,300,000
Percent Market Share Instantiations (PMSI)- 15
Annual Revenue Per Instantiation (RPI)- 5
Annual Revenue per Market Segment- 2,475,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multi-display eye strain reduction, low frame rate works better and permits overlay).
2) fast/LP/pixel compression (difference detection, instant traffic video recording, zero frame delay).
4) fast/LP/macrocell compression (multiple moving objects, characterization of other vehicles/objects).
5) Active driving car control ( active safety braking/steering, macrocell compression ).
Market Segments- 6,400 US defense vehicles,
6,400 non-USA defense vehicles 2019 14 billion dollars
Market Segment Annual Units- 12,800
Percent Market Share Instantiations (PMSI)- 18
Annual Revenue Per Instantiation (RPI)- 500
Annual Revenue per Market Segment- 1,152,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multi-display eye strain reduction, low frame rates work better and permits overlay)
2) fast/LP/pixel compression (ultra low latency video phone)
3) fast/LP/pix compress/multi-user (server farm)
4) fast/LP/macrocell compression (remote desktop, remote real-time meetings).
Market Segments- Remote desktop software 2019
1.53 billion dollars
Market Segment Annual Units- 15,000,000
Percent Market Share Instantiations (PMSI)- 10
Annual Revenue Per Instantiation (RPI)- 75
Annual Revenue per Market Segment- 1,125,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multiple-displays in any location are in sync, eye strain reduction, low frame rates save power, and permits overlay)
2) fast/LP/pixel compression (difference detection, instant action video recording, zero frame delay)
4) fast/LP/macrocell compression (remote desktop, long term compression)
Market Segments- Mixed IoT devices 20.4 million units 2020
212 billion dollars, 1.0 trillion by 2025
Market Segment Annual Units- 20,400,000
Percent Market Share Instantiations (PMSI)- 10
Annual Revenue Per Instantiation (RPI)- 0.5
Annual Revenue per Market Segment- 1,020,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock cell phone to other video (multi-display eye strain reduction, low frame rates work better and permits overlay)
2) fast/LP/pixel compression (ultra low latency video phone)
4) fast/LP/macrocell compression (remote desktop, remote real-time meetings).
Market Segments- Smartphones 2019 409 billion dollars
Market Segment Annual Units- 1,200,000,000
Percent Market Share Instantiations (PMSI)- 20
Annual Revenue Per Instantiation (RPI)- 0.05
Annual Revenue per Market Segment- 12,000,000
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock tablet to other video (multi-display eye strain reduction, low frame rates work better and permits overlay)
2) fast/LP/pixel compression (ultra low latency video phone)
4) fast/LP/macrocell compression (remote desktop, remote real-time meetings).
Market Segments- Tablets 2019 14.9 billion dollars
Market Segment Annual Units- 150,000,000
Percent Market Share Instantiations (PMSI)- 15
Annual Revenue Per Instantiation (RPI)- 0.05
Annual Revenue per Market Segment- 1,162,500
1) US-6,262,695
2) US-8,139,072
3) US-8,441,493
4) US-10,499,072
5) US-11,884,312 B2
1) phaselock video frames (multiple video cameras in any location are in sync, eye strain reduction, low frame rates save power and permits overlay).
2) fast/LP/pixel compression (difference detection, instant incident video recording and transmission).
3) fast/LP/pix compress/multi-user (compress all local synced cameras on one chip, share common macro-cells).
4) fast/LP/macrocell compression (remote desktop, long term compression).
5) Active driving vehicle control (active safety braking/steering, move out of harms way).
Market Segments- Surveillance cameras 2019 6.4 billion dollars
Market Segment Annual Units- 165,000,000
Percent Market Share Instantiations (PMSI)- 8
Annual Revenue Per Instantiation (RPI)- 0.35
Annual Revenue per Market Segment- 4,629,000
Patent publications:
US 11884312
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