Autonomous Vehicle Speed Limit Sign Detection and Control
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Solution Overview
Problem
Autonomous vehicles face challenges in accurately detecting and responding to different types of speed limit signs, including permanent and temporary signs, which can lead to inconsistent vehicle control and potentially disrupt smooth navigation.
Innovation Solution
The method involves using computing devices to identify speed limit signs, determine their location and orientation, and calculate an effect zone based on surrounding characteristics, allowing the vehicle to adjust its speed accordingly, with confidence levels used to define the start and end points of the effect zone for temporary signs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous vehicle uses perception system to detect speed limit signs, then the vehicle can identify speed limits in the environment, but the vehicle may fail to distinguish between permanent and temporary signs leading to inconsistent control responses
Solution Approach 1:
The system pre-stores location and orientation data of permanent speed limit signs in map information before the vehicle encounters them. When a sign is detected, the system compares real-time detection data against pre-stored map data to determine if the sign is permanent (matches map data) or temporary (no match), enabling reliable differentiation and consistent control responses.
2Measurement precision
If the vehicle determines effect zone based on location and orientation of speed limit sign, then the vehicle can identify where the speed limit applies, but the vehicle may struggle to accurately define start and end points of the effect zone
Solution Approach 1:
The system pre-stores effect zone information in map data for permanent speed limit signs. When detecting a permanent sign, the system retrieves pre-stored effect zone boundaries from map information, avoiding complex real-time calculations and achieving precise effect zone definition efficiently.
Solution Approach 2:
For temporary speed limit signs where pre-stored map data is unavailable, the system dynamically calculates effect zone boundaries by determining a predetermined distance before the sign location. This adaptive approach allows the system to handle both permanent and temporary signs with appropriate precision without excessive complexity.
3Measurement precision
If the vehicle uses detailed map information to identify permanent speed limit signs, then the vehicle can accurately distinguish permanent from temporary signs, but the system requires access to and processing of large amounts of pre-stored map data
Solution Approach 1:
The system pre-stores comprehensive map information including speed limit sign locations, orientations, and effect zones before the vehicle operates. This preliminary preparation allows the vehicle to quickly classify detected signs by comparing real-time sensor data against pre-loaded map data, achieving accurate classification without complex real-time processing.
Data Source
AI summary
Aspects of the disclosure provide for a method for identifying speed limit signs and controlling an autonomous vehicle in response to detected speed limit signs. The autonomous vehicle's computing devices identifies a speed limit sign in a vehicle's environment and a location and orientation corresponding to the speed limit sign. Then, the and orientation location of the speed limit sign is determined to not correspond to a pre-stored location and a pre-stored orientation of a speed limit sign that is pre-stored in map information. An effect zone of the speed limit sign is determined based on the location and orientation of the speed limit sign and characteristics of surrounding areas or other detected object before or after the speed limit sign. The autonomous vehicle's computing devices determines a response of the vehicle based on the determined effect zone, and controls the autonomous vehicle based on the determined response.