Automatic Driving Assistance for Obstacle-Based Remote Intervention
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Solution Overview
Problem
Existing automatic-driving systems for mobile bodies, such as tractors and forklifts, face challenges in efficiently navigating and operating in environments with obstacles, leading to increased workload for human operators due to complex obstacle avoidance requirements.
Innovation Solution
An automatic-driving assisting apparatus that includes a working-information obtaining unit, an obstacle state obtaining unit, an obstacle state determination unit, and an assist requesting unit. This system determines the level of an obstacle state and requests assistance accordingly, allowing for flexible operation between automatic driving, remote operation, remote driving, and manual operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic driving is implemented to avoid obstacles, then productivity is improved, but device complexity increases due to complicated setting requirements
Solution Approach 1:
The mobile body performs self-diagnosis of obstacle avoidance capabilities by automatically evaluating its own operational status and environment. The system assesses whether it can autonomously handle obstacles without external assistance, reducing the need for complex manual settings and configurations.
Solution Approach 2:
The system continuously monitors obstacle states and automatically adjusts its operation mode based on real-time conditions. When obstacles are detected, the system evaluates the situation and requests appropriate levels of assistance (remote operation, remote driving, or worker dispatch) based on its capability assessment, creating a closed-loop feedback system.
2Reliability
If remote monitoring is added to continue automatic driving, then reliability is improved, but device complexity increases
Solution Approach 1:
The assistance system is divided into distinct levels (remote operation, remote driving, worker dispatch) based on obstacle severity. This segmentation allows the system to activate only the necessary monitoring and control functions for each situation, avoiding the need for a constantly complex active system.
Solution Approach 2:
The system dynamically adjusts the level of remote monitoring and assistance based on real-time obstacle assessment. The monitoring intensity and control involvement change according to the obstacle state, transitioning from full automatic driving to various levels of remote assistance as needed.
3Reliability
If manual operation is requested for complex obstacles, then reliability is improved, but loss of time increases due to worker dispatch
Solution Approach 1:
The system preliminarily assesses obstacle states and prepares appropriate response protocols in advance. When obstacles are detected, the system has pre-established decision criteria ready to immediately determine the appropriate assistance level, eliminating delays in assessment and response planning.
Solution Approach 2:
The control system acts as an intermediary that automatically mediates between obstacle detection and appropriate response selection. It evaluates obstacle characteristics and automatically selects the most suitable assistance level (remote operation, remote driving, or worker dispatch), reducing the time needed for human judgment and decision-making.
Data Source
AI summary
An automatic-driving assisting apparatus comprises a working-information obtainer that obtains a target position and a command for working, an obstacle state obtainer that obtains an obstacle state hindering moving to a target position and working, an obstacle state determiner that determines a level of an obstacle state, and an assist requester that makes an assist request, when a level is either a second level at which an automatic driving is continued under monitoring by a remote-monitoring person, a third level at which driving of a mobile body is performed through remote driving, or a fourth level at which dispatch of a dispatch worker for performing manual operation is requested.