Autonomous Vehicle Lane Routing Optimization

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Solution Overview

Problem

Existing autonomous vehicle routing systems are inefficient when generating routes based solely on road and road segment information, as they do not account for lanes, leading to suboptimal navigation.

Innovation Solution

An autonomous vehicle system that includes a processor to identify and generate routes using vehicle transportation network information, which includes lane information, to determine the most efficient path by considering adjacent lanes and their directions of travel, thereby optimizing route planning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If routing systems use only road and road segment information, then the system complexity is reduced, but the route accuracy and efficiency deteriorate

Engineering Contradiction:
Improvesystem complexityVSAvoidroute accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the road network into hierarchical levels: road segments, lanes, and trajectory points. By dividing the routing problem into these manageable segments, the system can process lane-level details without overwhelming complexity, thereby improving route accuracy while maintaining system tractability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent adds a new dimension to traditional routing by incorporating lane information alongside road segment information. This dimensional expansion from 2D road networks to 3D lane-level navigation enables more precise route planning and vehicle positioning without fundamentally complicating the underlying routing algorithms.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Productivity

If routing systems incorporate lane information, then the route accuracy and efficiency improve, but the data processing complexity increases

Engineering Contradiction:
Improveroute generation efficiencyVSAvoiddata processing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent performs preliminary processing of lane information during map data creation and storage. Lane geometries, directions, and connectivity are pre-computed and stored in the lane network database, allowing the routing system to query pre-processed data rather than computing lane relationships in real-time, thus improving efficiency without proportionally increasing processing complexity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces trajectory points as intermediary elements that connect lanes to vehicle positioning systems. These trajectory points serve as a mediating layer that simplifies the interaction between complex lane networks and vehicle navigation requirements, enabling efficient route generation through standardized query interfaces.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If the system processes multiple candidate routes with lane information, then the navigation optimization improves, but the computational time increases

Engineering Contradiction:
Improvenavigation optimizationVSAvoidcomputational time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent generates a limited set of candidate routes (e.g., top 3-5 options) rather than exhaustively evaluating all possible paths. By focusing computational resources on a partial set of high-probability routes that incorporate lane-level optimization, the system achieves sufficient navigation optimization without the prohibitive computational cost of complete route enumeration.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS9939284B2Autonomous vehicle lane routing and navigation
Publication Date: 2018.04.10 NISSAN MOTOR CO LTD
  • US9939284B2 patent drawing
  • US9939284B2 patent drawing
  • US9939284B2 patent drawing

AI summary

An autonomous vehicle may include a processor configured to execute instructions to identify, from vehicle transportation network information representing a vehicle transportation network, first and second location information representing a first and second location in the vehicle transportation network, and generate route information representing a route from the first location to the second location via the vehicle transportation network, wherein the route information includes first lane information indicating that the route includes a first lane of a road segment, wherein the vehicle transportation network information includes second lane information representing a second lane of the road segment and adjacent to the first lane, the route having a minimal expected cost among available candidate routes. The autonomous vehicle may include a trajectory controller configured to operate the autonomous vehicle to traverse the vehicle transportation network from the first location to the second location via the route based on the route information.