Passing Control for Level 3 Vehicles Using Sensor-Fused Lane Changes
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Solution Overview
Problem
Existing vehicle imaging systems fail to effectively mitigate or avoid collisions with rearward approaching vehicles by adjusting vehicle speed and lane changes autonomously or with minimal driver intervention.
Innovation Solution
A driving assistance system utilizing imaging and non-imaging sensors to capture data, process images, and control vehicle maneuvers to match the speed of a rearward approaching vehicle and change lanes, thereby avoiding collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle uses existing imaging systems to detect rearward approaching vehicles, then collision detection capability is provided, but autonomous speed adjustment and lane change maneuvers are not performed to effectively avoid collisions
Solution Approach 1:
The vehicle system performs self-service by autonomously executing speed adjustment and lane change maneuvers without requiring driver intervention. The control system automatically processes sensor data, determines collision risk, and executes evasive actions, enabling the vehicle to protect itself from rear-end collisions through self-directed maneuver control.
2Loss of time
If the vehicle manually monitors and reacts to rearward approaching vehicles, then driver control is maintained, but reaction time is insufficient to avoid collisions
Solution Approach 1:
The system performs preliminary action by continuously monitoring rearward approaching vehicles and pre-calculating potential collision scenarios before they become critical threats. The control system prepares and executes evasive maneuvers automatically, eliminating the need for driver reaction time and ensuring timely collision avoidance.
3Reliability
If the vehicle implements autonomous speed and lane control, then collision avoidance is enhanced, but system complexity increases
Solution Approach 1:
The control system achieves universality by integrating multiple functions into a single automated platform that performs sensor data processing, collision risk assessment, speed control, and lane change maneuvers. This multi-functional approach enhances collision avoidance capability while managing system complexity through functional integration rather than separate dedicated systems for each task.
Data Source
AI summary
A vehicular control system includes cameras and radar sensors disposed at an equipped vehicle. As the equipped vehicle travels forward along a traffic lane of a multi-lane road, the system, responsive at least in part to processing of image data captured by a forward-viewing camera and/or radar data captured by a forward sensing radar sensor, detects a leading vehicle traveling in the traffic lane that the equipped vehicle is traveling along. The system, responsive at least in part to processing of image data captured by a left-side camera or a right-side camera, detects another vehicle traveling in another traffic lane that is adjacent to the traffic lane along which the equipped vehicle is traveling. With the equipped vehicle operating in accordance with SAE Level 3, the system controls maneuvering of the equipped vehicle into the other traffic lane ahead of the other vehicle to pass the leading vehicle.