Mine Vehicle V2V Coordination for Collision Avoidance Reliability
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Solution Overview
Problem
Autonomous vehicles on mine sites face challenges in collision avoidance due to the lack of consideration for other vehicles in trajectory planning, relying on centralized platforms that are prone to latency, outages, and blind spots.
Innovation Solution
Implementing Vehicle-to-Vehicle (V2V) communication to enhance obstacle detection and classification, allowing autonomous vehicles to exchange information on obstacles, intentions, and path planning to improve collision avoidance capabilities independently of central network infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized platform control is used for trajectory planning, then collision prevention between autonomous vehicles is achieved, but network latency, outages and blind spots reduce system reliability
Solution Approach 1:
The patent introduces V2V communication as an intermediary mechanism that enables direct information exchange between autonomous vehicles. This mediator allows vehicles to share position, trajectory, and status information independently of the centralized platform, ensuring continuous collision avoidance capability even when the central network experiences latency or outages.
Solution Approach 2:
The patent segments the centralized control function into two parts: centralized trajectory planning and decentralized real-time collision avoidance. By dividing the control architecture, vehicles can maintain local awareness of each other through V2V communication while still receiving overall mission guidance from the centralized platform, thus improving reliability during network disruptions.
2Difficulty of detecting and measuring
If sensor perception alone is used for obstacle detection, then autonomous vehicles can detect static obstacles, but moving vehicles cannot be reliably detected due to lack of position knowledge
Solution Approach 1:
The patent merges sensor-based perception with V2V communication data to create an augmented obstacle detection system. While sensors detect static obstacles and provide local environmental awareness, V2V communication supplements this by providing real-time position and trajectory information about other vehicles, enabling reliable detection of moving obstacles that sensors alone cannot reliably identify.
3Reliability
If V2V communication is implemented for obstacle detection, then collision avoidance capability is improved, but system complexity increases
Solution Approach 1:
The patent designs the V2V communication interface to serve multiple functions: obstacle detection, trajectory sharing, collision prediction, and cooperative navigation. By making the communication system multi-functional, the patent reduces the need for separate dedicated systems for each function, thereby limiting the increase in overall system complexity while achieving improved collision avoidance capability.
Data Source
AI summary
A system for controlling a plurality of autonomous vehicles on a mine site comprises a centralized platform configured to store an inventory list of vehicles travelling on the mine site and configured to determine and communicate missions to the vehicles of a plurality of autonomous vehicles. The autonomous vehicles may comprise an interface configured to communicate with the centralized platform for receiving a predetermined mission, a trajectory control system configured to autonomously control the autonomous vehicle according to the predetermined mission, a detection system configured to detect other vehicles by evaluating sensor information received from at least one sensor of the vehicle, a collision prediction system configured to predict collisions with the other vehicles detected by the detection system, and a V2V communication interface for directly communicating with a V2V communication interface of at least one of the other vehicles on the mine site for exchanging information between the vehicles.