Autonomous Vehicles

We monitor Prudence of Autonomous Cars and Autonomous Trucks
Providing prudent recommanded speed
and prudent trajectory (mission planner)
We save lives

 

eHNex – SafetyNex – PilotNex
Real Time Implementation

 
HERE Map (OCM) Autonomous Cars & Autonomous Trucks: prudence based automated driving special eHorizon Nexyad eHorizon Takes into account implicit priorities
(issue for Predictive ACC and Autonomous Driving)
Not in most usual eH
and/or Customer eH/eHNex
and/or Customer Obstacles Detection
and/or Customer V2X info		 Autonomous Cars & Autonomous Trucks: prudence based automated driving for longitudinal L2, L2+, L3 and L4

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Prudence (level 0 to 100%)

Lack of Prudence Alerts

Recommended Speed

Recommended Trajectory

 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.
Grip Lack of Prudence
Recommended Speed
Recommended Trajectory		 Autonomous Cars & Autonomous Trucks: prudence based automated driving for lateral decision making

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Accelerator

Brake

Steering
Vehicle Characteristics

 

 The 3 products run on RTMaps, ROS, and being ported to SIMULINK.
Series cars version compiled on Target Architecture on demand.

 

 

Measure Prudence of Autonomous Vehicles
Cancel Complexity by 100 factor for Autonomous Cars & Autonomous Trucks
Accelerate Development – Reduce Architecture Costs
Reduce Energy Consumption – Simplify Test and Validation

 

Testimony of STELLANTIS
Our Prudence Metric Measures Driving Prudence of Autonomous Vehicles.
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. Prudence functions are a description of autonomy in independant variables.
SafetyNex runs 5% of CPU load on a regular architeture. It reduces heat and energy consumption.
Examples of complex scenarios:

  • Taking over a bicycle approaching a roundabout, with a pedestrian frolicking on the side of the road
  • Truck masking visibility of a pedestrian crossing
  • Prudent behavior on crowdy highways
  • …

Complexity is devided by several hundreds.
Tests and validations are drastically simplified.

TESTIMONYAutonomous Cars & Autonomous Trucks: predictive ACC of Stellantis

« 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 of Autonomous Vehicles
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

Example of more or less prudent adjustment effect with SafetyNex
(depending on the driver’s level of expertise)

Example of use-case not managed by state of art ADAS, but by SafetyNex

 

From Theory to Practice

 

Nexyad has its own Autonomous Vehicle Dreamotor1
TESTIMONYAutonomous Cars & Autonomous Trucks: Demo vehicle of Nexyad

Nexyad Dreamotor1 at UTAC

 TESTIMONY
Autonomous Cars & Autonomous Trucks, Jochen Langheim testing the democar Nexyad Dreamotor1

« Impressive! The recommendation for acceleration and braking are very natural. A further step towards autonomous driving »

Jochen Langheim, VP at STMicroelectronics

 

 

Go to FAQ on Prudence Based Automated Driving

 

Prudence Based Autonomous Vehicle Customers

Autonomous Cars & Autonomous Trucks: Nexyad Customers