Dynamic Braking Table Selection for Vehicle Stopping Distance
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Solution Overview
Problem
Current braking systems for vehicles, especially in adverse weather conditions, fail to consider dynamic road conditions, leading to inadequate braking performance and increased stopping distances due to reduced traction, which is not effectively addressed by generalized approaches that do not account for specific road types and qualities.
Innovation Solution
A method and apparatus that utilize vehicle sensors, including cameras, radar, and lidar, to determine road conditions and select appropriate braking tables based on road surface type and quality, enabling precise calculation of stopping distances and initiating pre-fill or emergency braking operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a generalized braking approach is used, then the braking system is simple to operate, but braking performance deteriorates in adverse weather conditions due to reduced traction
Solution Approach 1:
The braking system dynamically adapts to changing road conditions by automatically selecting appropriate braking tables based on detected road surface type and quality. The system transitions from static, generalized braking parameters to dynamic, condition-specific parameters, allowing optimal braking performance across varying weather conditions without requiring manual intervention from the driver.
Solution Approach 2:
The system changes braking parameters (stopping distances, braking force, timing) based on detected road conditions. Multiple braking tables with different parameters are stored in memory, and the system selects the appropriate table by matching detected road conditions to stored condition profiles, thereby optimizing braking performance for each specific scenario.
2Manufacturing precision
If road condition detection and multiple braking tables are implemented, then braking precision is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary detection of road conditions (surface type and quality) before executing the braking maneuver. By detecting and classifying road conditions in advance, the system can pre-select the appropriate braking table, ensuring optimal braking parameters are applied from the start of the braking event, thereby improving precision without adding significant complexity during the critical braking moment.
Solution Approach 2:
The system uses image processing to create a digital representation (copy) of the road condition from visual data. By analyzing images of the road surface and creating a digital model of the conditions, the system can determine road surface type and quality without direct physical contact, enabling precise braking decisions through information copying rather than complex mechanical sensing.
3Speed
If braking tables are selected based on detected road conditions, then stopping distance is reduced, but measurement precision requirements increase
Solution Approach 1:
The system determines road conditions locally at the specific location where the vehicle is traveling by analyzing images of the immediate road ahead. Rather than relying on general weather data or broad regional conditions, the system focuses on the local road surface characteristics directly in front of the vehicle, ensuring that the braking parameters selected are appropriate for the actual conditions where braking will occur.
Data Source
AI summary
Method, apparatus, and computer-readable medium for performing a braking operation of a vehicle when an object is detected in front of the vehicle. The method includes acquiring at least one image of an external environment of the vehicle, determining a road condition of a road of the external environment of the vehicle based on the acquired at least one image, obtaining, based on the determined road condition and from memory, a braking table of one or more braking tables including distances and corresponding vehicle speeds at which the braking operation is performed, acquiring a speed of the vehicle and a distance between a preceding object and the vehicle, comparing the acquired speed of the vehicle and the acquired distance between the preceding object and the vehicle to the braking table, and sending, based on the comparison, an instruction to perform the braking operation of the vehicle.