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List of KIMM TechnologiesMechanical Systems Safety Research Division

Machine’s Environment Recognition and Collision Prevention Safety Control Technology

Division Mechanical Systems Safety Research Division > Department of Smart Industrial Machine Technologies
Name Dr. Ji-Chul Kim, Dr. Seungjin Yoo, Dr. Mingeuk Kim
Department Department of Smart Industrial Machine Technologies
Tel +82 - 42 - 868 - 7473
E-mail seungjinyoo@kimm.re.kr, jckim@kimm.re.kr, kmg0702@kimm.re.kr
Attachment Download 140_Machine’s_Environment_Recognition_and_Collision_Prevention_Safety_Control_Technology.pdf (4.1 KB)

Human-centric machine system safety technology for monitoring surroundings of working machines such as excavator and collision prevention

 

Client / Market

  • Construction machinery (excavator, forklift, etc.) manufacturer, operator
  • Construction/civil engineering business
  • Local government for government-ordered construction

 

Necessity of this Technology

  • An ultrasonic, image sensor cannot predict dynamic behaviors.
  • Need to determine the safe time for braking considering dynamic properties of the moving object.
  • Active control of emergency stop required, more than a simple alarm
  • Can reduce fatal accidents from construction site–high risk group within top 15% of industrial accident
  • Crucial core technology for the future considering the trend for machine safety regulation and the speed of unmanned technology advancement

 

Technical Differentiation

  • Developed a LiDAR-based technology with high resolution and precision with existing image and ultrasonic sensor
  • Developed a risk judgment algorithm enhanced from the simple distance-based to consider time
  • Secured consistent safe distance considering the inertia of excavator’s turning movement

 

Excellence of Technology

  • Full-Range (360 degree) obstacle monitoring technology
  • Simultaneous recognition of multiple objects and algorithm computation within 100ms
  • 3D obstacle collision monitoring technology
  • Consistent safe distance (1 m±0.25 m) considering the inertia of excavator’s turning movement
  • Distance-based and time-based collision risk judgment algorithm technology
  • Virtualization technology and reliability assessment technology

 

 

CURRENT INTELLECTUAL PROPERTY RIGHT STATUS

KNOW-HOW
  • LiDAR data post processing (filtering, clustering, etc.) technology
  • Object dynamic movement (speed) prediction technology
  • Distance and time-based collision risk assessment
  • Collision prevention safety control performance mounting/remodeling technology for excavator, etc.
  • LiDAR-based 3D environment recognition technology

 

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