Predictive Collision Avoidance with DriveAssist™

RIGID ROBOTICS' DriveAssist Mine Collision Avoidance Icon

This solution is tailored to maximize situational awareness in as well as predict and prevent collisions between vehicles of any type.

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2.5cm Position Accuracy

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100% Position Availability

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Low Cost

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Integration Friendly

  • Uses multi-satellite GNSS for global tracking and/or ARM-77™ radars for local tracking
  • No loss of vehicle position alongside high walls or in deep pits thanks to Enhanced Dead Reckoning (EDR)
  • Predicts vehicle position & generates Dynamic Probabilistic Safety Zones based on vehicle type, response time, dynamics and behavior
  • Handles ALL traffic scenarios: Tailgating, two-way/parallel driving, elevation difference, path cut-off, obstructed intersection, truck spotting, dozer cleaning; other customized scenarios can be added.
  • Multiple operator console options: headless, 3″ automotive dashboard, PC software only
  • Customizable and configurable to specific mine needs
Two vehicles equipped with mine collision avoidance, connected to GNSS and to each other via V2V communication
Multiple overlapping mine collision avoidance paths using traditional GPS versus no false paths with DriveAssist

The false alarm issue: Performance of competing mine collision avoidance products based on GPS accuracy (top) vs DriveAssist™ cm accuracy (bottom)

The Challenge

  • The majority of vehicle incidents occur between trucks and light vehicles as large vehicles have large blindspots
  • Near misses occur when vehicles must encroach on each other’s collision zones for loading and cleaning tasks
  • Collisions cause costly unscheduled downtime
  • People’s safety is at risk due to bad road conditions or slopes and blind intersections
  • Periods of low visibility such as at night or during fog compound the problem
The missing piece of the puzzel

The Problem with Other Solutions

  • GPS-only solutions are unavailable or very innaccurate in the pit or along long walls
  • GNSS solutions are only ~85% available, making them unideal for safety
  • GNSS has 2m accuracy which means two vehicles have relative accuracy of 4m, which is insufficient in some cases involving light vehicles or near a shovel
  • Conventional radar sensors generate excessive false alarms
  • Solutions based on legacy accuracy positioning (e.g. conventional RTK) are expensive
  • Lack of proper integration options, operators have limited attention spans, vehicle’s cabs are overcrowded with monitors and hardware

Benefits

Lowers Cost

  • Decreases operational cost by minimizing equipment damage
  • Decreases dependence on highly experienced operators
  • Decreases training needs/costs thanks to operator-assist technology with intuitive user interface)
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Improves Productivity

  • Increases productivity by minimizing equipment downtime
  • Improves cycle times by sharing awareness and increasing coordination among vehicles
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Increases Safety

  • Prevents of incidents
  • Reduces number of near miss incidents
  • Prevents tailgating as well as under- and over-speeding
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