We monitor Prudence for Autonomous Cars and Autonomous Trucks
Providing prudent recommanded speed
and prudent trajectory (mission planner)
We save lives
eHNex – SafetyNex – PilotNex
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| HERE Map (OCM) |  |
Nexyad eHorizon |  |
Takes into account implicit priorities (issue for Predictive ACC and Autonomous Driving) Not in most usual eH |
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| eHorizon Obstacles V2X |
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Prudence (scale range 0 to 100%) Lack of Prudence Alerts Recommended Speed Recommended Trajectory |
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eH can be Nexyad or any other (Elektrobit, …). RELATIVE SPEED, NATURE and LOCATION of OBSTACLES V2X = traffic jam, weather, accidents, person or animal on lane, road works, etc. We have our own format for all. |
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| Grip | Lack of Prudence |
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| Recommended Speed Recommended Trajectory |
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Accelerator Brake Steering |
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| Vehicle Characteristics
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The 3 products run on RTMaps, ROS, and being ported to SIMULINK. Series cars version compiled on Target Architecture on demand. |
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Go to FAQ on Prudence Based Automated Driving
Precalculated Data of Vehicle Speeds
SafetyNex runs on Servers of a Cloud |
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. . . eHorizon
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Recommended Speed
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On the Car Application for OEMs |
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Pasted on Navigation that gives Prudent Speed
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. . Obstacles V2X |
Set Speed or Speed Limit  |
. . . Applied Vehicle Speed . |
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| or Pasted on Dashboard | Regular ACC becomes a Preventive ACC |
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Cancel Complexity by 100 factor for Autonomous Cars & Autonomous Trucks
Accelerate Development – Reduce Architecture Costs
Reduce Energy Consumption – Simplify Test and Validation
Focus on SafetyNex
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| We have developed SafetyNex a Prudence Metric Measure. Instead of working on Scenarios (that are quite infinite), we work on separate EVENTS, we calculate a Prudence Function for each event, and we fusion prudence formally to represent any scenario. This is done using 5% of CPU load on a regular architeture. It reduces heat and energy consumption. Examples of complex scenarios:
Complexity is devided by several hundreds. |
TESTIMONY « NEXYAD SafetyNex cognitive AI brings a new paradigm for road safety in ADAS and Autonomous Driving » Vincent ABADIE, VP Autonomous Vehicle at STELLANTIS |
We generate Qualified Data of Driving Behavior
SafetyNex is not a Black Box, it is an Explainable AI (XAI)
Our product is completely Tunable, a perfect tool for Engineers
Examples of Use-Cases managed by Prudence Based System |
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Example of more or less prudent adjustment effect with SafetyNex |
Example of use-case not managed by state of art ADAS, but by SafetyNex |
From Theory to Practice
Go to FAQ on Prudence Based Automated Driving
Prudence Based Autonomous Vehicle Customers |
