& Co Cogn gnition System em Proprietary & Confidential | - - PowerPoint PPT Presentation

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Int nteg egrated Sen ensin ing Co Cogn gnition System em

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The last generation

• f drivers

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Company Overview

⁺ Addressing the heart of the autonomous vehicle challenge; Understanding the changing environment with the most advanced 3D sensing and cognition algorithms ⁺ Our offering:

⁺ AI sensor fusion platform ⁺ “Point and Shoot” LiDAR

⁺ Founded in Feb 2016 ⁺ Raised seed in July 2017

AI Deep learning

Computer

vision 3D modeling

System architecture

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Autonomous Vehicles

Driving Control Driving Decisions Cognition/Fusion Sensors

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Driving Control Driving Decisions Cognition/Fusion Sensors

Autonomous Vehicles

Int ntegrat grated ed Se Sens nsing ing & Cog

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nitio tion n Sy System em

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⁺ Sensors: Camera, Lidar Radar ⁺ Basic fusion

⁺ High accuracy ⁺ Low latency ⁺ High reliability ⁺ Affordable

Main challenge for L3 and higher autonomous cars

Solutions need to be: But current solutions are lacking:

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Legacy Fusion Solutions

Driving Decisions & Control Basic Fusion/Cognition

Camera cognition SW LiDAR cognition SW RADAR cognition SW

Camera LiDAR RADAR Environment Model

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Raw Data Fusion Combined Algorithms for a rich environment model Point & Shoot LiDAR and RADAR Driving Decisions & Control Raw Data Fusion/Cognition

Camera LiDAR

Point & Shoot

RADAR

Point & Shoot

Rich Environment Model

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Data Fusion Raw

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Raw Data Fusion

⁺ Integrating sensor data on a pixel level ⁺ Overcome sensor faults ⁺ Optimize detection ⁺ Simplify decision making

Legacy Fusion Solutions VAYAVISION Raw Data Fusion

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& Shoot LiDAR Point

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& Shoot LiDAR Point

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Point and Shoot LiDAR

Requirements ⁺ 150m Range @ 10% reflectivity ⁺ 120° x 25° Field of View ⁺ <0.1° Horizontal resolution ⁺ 0.1° Vertical resolution ⁺ <6cm accuracy ⁺ 60 Frames per second ⁺ 5000 points per frame

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for a Rich Environment Model

Combined Algorithms

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Rich Environment Model

U1

Free space Lane Car Pedestrian Unidentified Obstacle Traffic light Sign Bicycle SLAM

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Combined algorithmic approach

⁺ SLAM ⁺ High Resolution 3D Model ⁺ Free space detection

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Overwhelming amount of data

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Stronger processor

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What we need

⁺Strong CPUs and GPUs ⁺Development Environment ⁺Scalability ⁺Market acceptance

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What we need

⁺Real Time System

⁺CPUs ⁺Interfaces ⁺Peripherals

⁺Algorithms

⁺Strong GPU acceleration ⁺Development cycle

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Best platform

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Summary

Change pics

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VAYAVISION’s AI Sensor Fusion Platform

⁺ Raw data fusion:

⁺ Better cognition algorithms ⁺ Can operate with VAYAVISION LiDAR and 3rd party sensors (Cameras, LiDARs and RADARs)

⁺ Point and Shoot LiDAR

⁺ Better resolution and higher frame rate ⁺ Affordable

⁺ Richer environment model

Fusion/ Cognition ADAS/AD

LiDAR Point & Shoot Camera RADAR Point & Shoot

GPS V2X

Map Cellular Vehicle Control

HMI

DRIVE PX 2

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