Autonomous Driving Route Update for Malfunction Adaptation
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Solution Overview
Problem
Conventional autonomous driving control systems lack the capability to adapt and update the scheduled travel route of an autonomous vehicle when malfunctions or route conditions prevent it from traveling on the primary scheduled route, leading to difficulties in reaching the destination.
Innovation Solution
An autonomous driving control apparatus that determines the necessity to update the primary scheduled travel route based on failure information and route condition information, and controls the vehicle to follow a new route using executable driving operations, ensuring the vehicle can reach its destination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle follows the primary scheduled travel route, then the route planning is simple, but the vehicle cannot reach the destination when malfunctions or route conditions occur
Solution Approach 1:
The patent implements dynamic route updating by enabling the control unit to modify the scheduled travel route in real-time based on malfunction information and route condition information. The system transitions from a static primary route to a dynamic routing system that adapts to changing conditions, allowing the vehicle to reach the destination even when malfunctions or route conditions occur.
Solution Approach 2:
The patent incorporates feedback mechanisms by continuously monitoring malfunction information from vehicle systems and route condition information from the environment. The control unit uses this feedback to determine whether route updates are necessary and to generate appropriate alternative routes, ensuring the vehicle can respond to changing conditions and maintain reliability in reaching the destination.
2Adaptability or versatility
If the autonomous vehicle updates the travel route frequently, then the ability to adapt to malfunctions and route conditions improves, but the control system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing the framework for route updates within the control unit. The system is designed in advance to handle malfunction information and route condition information, with predefined processes for determining when updates are necessary and how to generate alternative routes. This reduces the complexity of real-time decision-making while maintaining high adaptability.
3Adaptability or versatility
If the autonomous vehicle has a fixed primary scheduled travel route, then the control system is simple, but the vehicle cannot respond to changing route conditions or vehicle malfunctions
Solution Approach 1:
The patent implements universality by designing the control unit to perform multiple functions: it manages the primary scheduled travel route, processes malfunction information from various vehicle systems, evaluates route condition information, and generates alternative routes when necessary. This multi-functional approach enables the system to respond to diverse malfunctions and route conditions without requiring separate specialized systems for each function.
Data Source
AI summary
In an autonomous driving control apparatus, a control unit communicable with the memory deter mines, upon execution of the autonomous driving, whether it is necessary to update a primary scheduled travel route for the autonomous vehicle toward a destination in accordance with at least one of failure information about the autonomous vehicle and route condition information indicative of a condition of the primary scheduled travel route. The control unit updates the primary scheduled travel route to a new scheduled travel route in accordance with one or more driving operations executable by the autonomous vehicle upon determination that it is necessary to update the scheduled travel route. The control unit controls the autonomous driving of the autonomous vehicle in accordance with the new scheduled travel route.