Adaptive Cruise Control Trajectory Prediction for Smooth Speed Adjustment
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Solution Overview
Problem
Adaptive cruise control systems in vehicles often result in aggressive acceleration and deceleration when a target vehicle enters or exits the lane, leading to reduced fuel efficiency and smooth control due to incorrect identification of lead vehicles.
Innovation Solution
A vehicle computer predicts the trajectory of a target vehicle using sensor data to determine if it will remain in or pass through the lane, adjusting the host vehicle's operation accordingly, based on the presence or absence of a lead vehicle, thereby preventing unnecessary speed adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the adaptive cruise control system identifies a target vehicle as a lead vehicle when it only passes through the lane, then the host vehicle speed is adjusted to avoid collision, but this causes aggressive acceleration and deceleration reducing fuel efficiency
Solution Approach 1:
The system performs preliminary trajectory prediction of the target vehicle before making speed adjustment decisions. By predicting whether the target vehicle will remain in the lane or pass through using sensor data and trajectory algorithms, the system avoids premature aggressive braking or acceleration, thereby maintaining fuel efficiency while still ensuring collision avoidance when necessary
Solution Approach 2:
The system continuously monitors target vehicle position, speed, and trajectory, and adjusts host vehicle speed based on this feedback. By using ongoing trajectory prediction and position tracking rather than single-point detection, the system can distinguish between vehicles that will remain in the lane versus those passing through, enabling smoother speed adjustments that maintain both safety and fuel efficiency
2Adaptability or versatility
If the adaptive cruise control system frequently re-adjusts speed when target vehicles enter and exit the lane, then the system responds to potential hazards, but this results in aggressive acceleration and deceleration patterns
Solution Approach 1:
The system predicts target vehicle trajectory in advance to determine if the vehicle will remain in the lane or pass through before initiating speed adjustments. This preliminary assessment prevents unnecessary frequent re-adjustments for vehicles that will exit the lane, resulting in smoother control while maintaining adaptability to genuine hazards
Solution Approach 2:
The system dynamically adjusts its response based on predicted trajectory outcomes. By differentiating between target vehicles that will remain in the lane versus those passing through, the system applies appropriate speed adjustment strategies only when necessary, creating smoother and more context-appropriate control behavior
Data Source
AI summary
While operating a host vehicle in a lane, a target vehicle is detected entering the lane in front of the vehicle. A trajectory of the target vehicle is predicted based on sensor data. Upon determining that the target vehicle will pass through the lane based on the predicted trajectory, the host vehicle is operated based on determining a presence or an absence of a lead vehicle. Upon determining that the target vehicle will remain in the lane based on the predicted trajectory, the host vehicle is operated with the target vehicle as the lead vehicle.