Lane Assistance System for Fast Approaching Vehicles
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Solution Overview
Problem
Current rear radar sensor systems are inadequate for detecting extremely fast approaching vehicles from the rear, particularly at high relative velocities, leading to potential lane change hazards due to limited sensing distance and angular resolution issues, which is a challenge for both human-driven and autonomous vehicles in various traffic scenarios.
Innovation Solution
A lane assistance system equipped with rear sensor units, including radar or lidar sensors, that determine the distance and velocity of approaching vehicles, providing warnings or preventing lane changes when a vehicle is detected at or beyond a predetermined fast or extremely fast relative velocity threshold, even when the lane of the approaching vehicle is uncertain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If rear radar sensors are designed to meet ISO17387 norm with 3.5 second warning for vehicles approaching at 20 m/sec relative velocity, then warning capability is provided for typical closing vehicles, but the system cannot accurately sense vehicles at larger distances with high relative velocities
Solution Approach 1:
The system changes the velocity threshold parameter from the standard 20 m/sec to a higher threshold (e.g., 40 m/sec or more) to specifically detect extremely fast approaching vehicles. This parameter change allows the system to distinguish between typical closing vehicles and dangerous high-speed approach scenarios, enabling accurate detection at larger distances for the specific high-velocity case.
2Measurement precision
If the radar sensor unit searches for peaks in the received spectrum to determine distance and velocity, then measurement is possible, but when angles of objects are not determinable or very uncertain, the measurements get rejected and position becomes unknown
Solution Approach 1:
The system extracts only the essential information (velocity and distance) needed for safety warnings, separating it from the problematic angular position information. By focusing on the radial velocity component obtained from Doppler shift and distance from time-of-flight, the system maintains measurement capability even when angular resolution is insufficient to determine precise lane position.
Solution Approach 2:
The system performs partial measurement by accepting distance and velocity data even when complete positional information (including precise angle) is not available. This partial action approach allows the system to provide safety warnings based on the subset of measurements that are reliable, rather than rejecting all measurements when perfect information is not obtained.
3Measurement precision
If values for angles of objects relative to the host vehicle are obtained, then position information is available, but due to large distance of the object, the objects have distribution that covers multiple lanes, such that there is no possibility of associating the detected vehicle to a specific lane
Solution Approach 1:
The system segments the detection problem into two independent parts: (1) detect objects with sufficient velocity and distance measurements, and (2) separately assess lane association probability. By segmenting the task, the system can provide warnings based on the first part even when the second part (lane association) cannot be definitively determined, thus preventing information loss while maintaining safety.
4Reliability
If the system provides warnings only when lane of approaching vehicle is certain, then false warnings are reduced, but warnings are missed when lane cannot be determined due to angular resolution limits
Solution Approach 1:
The system performs partial warning action by providing safety warnings even when lane association is not certain. Instead of requiring complete information (certain lane identification), the system acts on the available partial information (velocity and distance measurements) to provide protective warnings, thereby increasing warning coverage while maintaining appropriate caution.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively warns operators or controls the vehicle to prevent dangerous lane changes by accurately detecting fast and extremely fast rearwardly approaching vehicles at greater distances than conventional systems, enhancing safety in diverse traffic conditions.
Implementation Method 1
at least one rear sensor unit disposed proximate to a rear of the host vehicle, the at least one rear sensor unit configured to detect at least one of a distance and a velocity of a rearwardly approaching vehicle
Implementation Method 2
A lane assistance system equipped with rear sensor units, including radar or lidar sensors
Data Source
AI summary
A lane assistance system of a host vehicle for reacting to fast and extremely fast approaching vehicles includes a rear radar sensing unit having a sensor and an electronic controller. The electronic controller determines the distance and relative velocity of the fast approaching vehicle to the host vehicle. Further, depending on the closeness of the approaching vehicle, the lane of the approaching vehicle is determined from angular resolution of the radar signal. When the vehicle is approaching at an extremely fast rate and the angular resolution of the radar signal is not capable of determining an exact relative lane of the approaching vehicle due to the vehicle being too far away, the assistance system warns against or prevents lane changes by the host vehicle.