Autonomous Vehicle Detour Path Control for Navigation Deviations
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Solution Overview
Problem
Autonomous vehicles may deviate from their intended path due to road construction or navigation failures, leading to potential delays in reaching destinations within scheduled times.
Innovation Solution
An automated system that utilizes a processor and memory to receive and analyze navigation data, generate detour paths based on high-definition maps, and determine optimal routes by considering road conditions, traffic, and sensor information, ensuring stable autonomous driving until new navigation paths are generated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle follows the navigation-generated path, then the vehicle can reach the destination, but the vehicle may deviate due to road construction or navigation failures causing delays
Solution Approach 1:
The system performs preliminary actions by generating a detour path in advance when deviation is detected, rather than waiting for navigation regeneration. The processor identifies potential deviation risks and pre-calculates alternative routes, allowing the vehicle to switch paths immediately without waiting for navigation system re-planning, thus preventing time loss.
Solution Approach 2:
The system continuously monitors vehicle position and path deviation status, using this feedback to determine when to generate detour paths. The determination unit assesses whether the vehicle has deviated from the current path and triggers detour path generation based on this feedback, creating a closed-loop control system that responds dynamically to path following conditions.
2Adaptability or versatility
If the navigation regenerates a new path after deviation, then the vehicle can continue to the destination, but the path may include roads under construction causing further delays
Solution Approach 1:
The system performs preliminary path planning by generating multiple candidate detour paths before the vehicle actually deviates or before navigation regeneration occurs. By pre-calculating alternative routes that avoid known construction zones and problematic areas, the system ensures that any selected path is likely to be efficient, preventing time loss from poor path selection.
Solution Approach 2:
The system dynamically adjusts the path selection based on real-time conditions. The determination unit evaluates current path following status and dynamically generates or selects detour paths based on up-to-date information about road conditions, construction zones, and traffic, rather than relying on static pre-planned routes.
3Loss of information
If the vehicle waits for navigation to regenerate path, then the vehicle can receive updated routing, but the vehicle cannot maintain autonomous driving stability during waiting period
Solution Approach 1:
The system performs preliminary path generation by creating detour paths in advance of navigation regeneration. When the determination unit detects potential deviation or instability, it immediately generates alternative paths using the processor, providing continuous stable path information without waiting for the navigation system to regenerate routes, thus maintaining autonomous driving stability throughout.
Solution Approach 2:
The detour path generation system acts as an intermediary between the vehicle's autonomous driving system and the external navigation system. When navigation information is unavailable or outdated, the intermediary generates local detour paths based on available map data and sensor information, bridging the gap until navigation regeneration occurs, thus maintaining driving stability.
Data Source
AI summary
An apparatus for autonomous driving of a vehicle may comprise a processor configured to execute instructions stored in a memory to cause the apparatus to perform receiving, from a navigation system, a first path, generating, based on the first path, a second path, and autonomously driving, following the second path, the vehicle, analyzing information provided from at least one of a sensor module of the vehicle or an external server, determining, based on an error range and a location of the vehicle, whether the vehicle deviates from the first path or the second path, and generating, based on the determining, a third path.