Vehicle-to-Vehicle Sensor Data Sharing for Extended Detection Range
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Solution Overview
Problem
Existing driver assistance systems in road traffic are limited by restricted sensing ranges, particularly in conditions like fog or snow, which can lead to inadequate detection of concealed objects and delayed reaction times in critical situations.
Innovation Solution
A method utilizing vehicle-to-vehicle communication to share sensor data between vehicles, updating a surroundings model, and triggering safety measures such as seatbelt pretensioning and brake prefilling, while using a stereo camera with 12-bit dynamic range for enhanced object tracking and data reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If classic surroundings sensor systems (video sensors or beam sensors) are used for driver assistance, then driver safety is improved through automated detection, but the sensing range is restricted by objects, fog, or snow
Solution Approach 1:
The patent introduces an intermediary communication system that transmits detected object information between vehicles. Instead of relying solely on direct optical sensing, vehicles share detection data through a communication network, effectively extending the sensing range beyond the physical limitations of individual sensors and visibility conditions.
Solution Approach 2:
The system transitions from single-vehicle localized sensing to a multi-vehicle networked detection dimension. By aggregating data from multiple vehicles through communication interfaces, the system achieves a broader situational awareness that overcomes the sensing range limitations of individual vehicle sensors.
2Reliability
If individual driving-situation-typical information items are used for collision avoidance, then specific hazards can be detected, but other information items cannot be evaluated in a flexible and easy way
Solution Approach 1:
The patent implements a universal information processing system that handles multiple types of driving-situation information items through a single integrated evaluation mechanism. The system can process various information formats (distance, speed, object type, weather conditions) uniformly, enabling flexible evaluation of different information items without requiring separate processing pathways for each type.
Data Source
AI summary
Method for detecting concealed objects in road traffic in which the surroundings of a vehicle and movement variables of the driver's vehicle are sensed by sensors, said variables are transmitted as information to vehicles which are located in the surroundings by an interface for vehicle-to-vehicle communication and are received from the vehicles which are located in the surroundings, wherein the following steps are executed:the data from the sensors expand a surroundings model,the expanded surroundings model is represented in updated form by a display in the driver's vehicle,a situation analysis of the surroundings and an evaluation of the situation are carried out in the driver's vehicle,objects which represent an accident hazard on the display are displayed with a high priority,predefined steps for reducing accident hazard are activated in the driver's vehicle,information relating to the pre-defined steps are transmitted to the surroundings by the communication system.