GET A SENSE OF WHAT’S GOING ON

GET A SENSE OF WHAT’S GOING ON

Current concept of smart cars

Every single car preforms separately the “OODA loop” –

Incomplete scene orientation analysis

Decentralized multiple decisions in one scene

Current concept of smart cars

Every single car preforms separately the “OODA loop” –

Incomplete scene orientation analysis

Decentralized multiple decisions in one scene

As long as different road users are sharing the streets, and as long as we have junctions, coordinated scene analysis

IS IMPERATIVE

As long as different road users are sharing the streets, and as long as we have junctions, coordinated scene analysis

IS IMPERATIVE

The need for

ACCURATE, RELIABLE & STABLE RELATIVE POSITIONING

  •  On Board Sensors: detection range, angle of view and blockage
  • GPS: reliability
  • V2V: inaccurate/incomplete observations might be shared through V2V to other users and lead to cumulative greater   inaccuracy. Reliability -all agents MUST cooperate.

The need for

ACCURATE, RELIABLE & STABLE RELATIVE POSITIONING

  •  On Board Sensors: detection range, angle of view and blockage
  • GPS: reliability
  • V2V: inaccurate/incomplete observations might be shared through V2V to other users and lead to cumulative greater   inaccuracy. Reliability -all agents MUST cooperate.

OUR SOLUTION:

AUTONOMOUS TRAFFIC CONTROLLER

Prevents collisions. Organizes traffic flow.

Advanced passive receiver that maps traffic by detecting electromagnetic emissions

Intelligent algorithm
 
that analyzes & monitors the driving environment based on the detected signals

Active transmitter
that communicates with the vehicles through the vehicles’ own sensors

CENTRALIZED. ACCURATE. COMPLETE

OUR SOLUTION:

AUTONOMOUS TRAFFIC CONTROLLER

Prevents collisions. Organizes traffic flow.

Advanced passive receiver that maps traffic by detecting electromagnetic emissions

Intelligent algorithm
 
that analyzes & monitors the driving environment based on the detected signals

Active transmitter
that communicates with the vehicles through the vehicles’ own sensors

CENTRALIZED. ACCURATE. COMPLETE

Our Technology

SOPHISTICATED PASSIVE RF MEASUREMENT

Detecting and
analyzing the vehicles 
electromagnetic
footprints

Our Technology

SOPHISTICATED PASSIVE RF MEASUREMENT

Detecting and
analyzing the vehicles 
electromagnetic
footprints

By using passive detection of physical phenomena, the 1.21GW approach enables overcoming several AV Challenges

How to identify a variety  of moving road users and to get a sense of what’s going on?

How to get an accurate location of the AV in order to keep passengers and pedestrians safe?

How to form the digital framework for  Avs?

By using passive detection of physical phenomena, the 1.21GW approach enables overcoming several AV Challenges:

  • How to identify a variety  of moving road users and to get a sense of what’s going on?
  • How to get an accurate location of the AV in order to keep passengers and pedestrians safe?
  • How to form the digital framework for  Avs?

By using passive detection of physical phenomena, the 1.21GW approach enables overcoming several AV Challenges

1.21GW adds a vital and unique – common to all – layer of data for a comprehensive understanding of the surrounding

1.21GW brings superior accuracy based on LPS – Local Positioning System

1.21GW’s stations don’t rely on communication networks (cellular/ Internet) and communicate via the vehicles’ own sensors

By using passive detection of physical phenomena, the 1.21GW approach enables overcoming several AV Challenges:

  • 1.21GW adds a vital and unique – common to all – layer of data for a comprehensive understanding of the surrounding
  • 1.21GW brings superior accuracy based on LPS – Local Positioning System
  • 1.21GW’s stations don’t rely on communication networks (cellular/ Internet) and communicate via the vehicles’ own sensors

Enhancing

Mediating

Switching

ADAS (in a human driven car)

human unpredictable actions into predictable guiding instructions for the Avs (franca lingua).

instead of flowing

INTELLIGENT TRANSPORTATION FRAMEWORK

  • Enhancing ADAS (in a human driven car)
  • Mediating human unpredictable actions into predictable guiding instructions for the Avs (franca lingua).
  • Switching instead of flowing

OUR VISION:

Creating the backbone of future mobility

Partnership with leading Automotive manufacturers

Partnership with municipal as a Beta sites

Deployment & Scale

Our Team

Dr. Boris Oklander Co-founder & CTO

Over 15 years  of experience in R&D in both the hi-tech and defense industries. Expert in advanced algorithmic tools such as machine learning, stochastic optimization methods and signal processing.

Adv. Roni Dulberg Co-founder & CEO

10 years of experience in managing large and complex processes – manufacturing and logistics of advanced technologies – in B2B settings.

Roman Rabinovich Co-founder & Director

Over  25 years of extensive experience in the world of military communications and electronics. Extensive experience in developing high-speed optical communication systems and digital communications systems.

EIM Group designs and manufactures a wide range of products for both the hi-tech and the aero-defense sectors.

With offices in Israel and California, EIM specializes in high-performance computing solutions & design and integration of complex RF systems for the Israeli defense sector.

EIM Group designs and manufactures a wide range of products for both the hi-tech and the aero-defense sectors.

With offices in Israel and California, EIM specializes in high-performance computing solutions & design and integration of complex RF systems for the Israeli defense sector.

WE HAVE THE MEANS AND THE CAPABILITIES. At EIM group, we have been realizing the described technology in a similar manner within a parallel content world.

WE HAVE THE MEANS AND THE CAPABILITIES.
At EIM group, we have been realizing the described technology in a similar manner within a parallel content world.

Careers:

In this radar signals software engineering role you’ll:

  • Address and resolve complex challenges encountered in the processing of radar signals measurements into information about the real-time road environment
  • Work cross-functionally with other team members as you analyze problems and coordinate solutions
  •  Maintain radar signals processing software, including measurement, detection, identification and multi-target tracking systems
  • Monitor software performance to detect and address problems before they happen
  • Architect and develop software to implement new sensing modes and capabilities

We’d like you to have:

  • BS/MS degree in Electrical Engineering or Computer Science, or equivalent practical experience
  • 5+ years of relevant work experience in software development
  • Experience programming with MATLAB and C/C++
  • Experience in estimation, direction finding and tracking algorithms
  • Experience working with/operating radar systems

In this role you’ll:

  • Design advanced architectures for high throughput signal processing
  • Work with real-time systems leveraging state of the art FPGA technology
  • Perform HW/SW integration and debugging, testing and qualification of the deliverable system

Preferred Qualifications:

  • BS/MS in Electrical Engineering and 10+ years of related experience with FPGA Design
  • Experience integrating with HW/software and supporting the complete testing and qualification of the deliverable system
  • Solid understanding of RTL (VHDL, Verilog/System Verilog)
  • Experience with high speed serial protocols (PCIe, JESD204B)
  • Experience with SoC designs incorporating ARM series embedded processors (Xilinx Zynq/Altera Stratix SoC)
  • Knowledge of implementing signal processing algorithms
  • Knowledge of communication, RADAR, and/or positioning/navigation systems
  • Familiarity with good digital design practices including approaches to design, implementation, verification, testing, documentation, and debugging.

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