Automated Vehicle Junction Approach Control
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Solution Overview
Problem
Existing automated driving systems for motor vehicles face challenges in efficiently approaching traffic junctions without blocking other vehicles or pedestrians, as they often fail to accurately assess environmental conditions and adjust their trajectory in time.
Innovation Solution
A method for partially automated motor vehicle control that generates and outputs approach signals based on environmental signals, determining whether to continue, stop, or retreat, using a combination of radar sensors and video cameras to assess the environment and adjust the vehicle's trajectory to prevent blockages at traffic junctions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the motor vehicle approaches the traffic junction aggressively to improve throughput, then productivity increases, but the risk of blocking other vehicles and causing collisions increases
Solution Approach 1:
The system performs preliminary assessment of the traffic environment before the vehicle reaches the junction. Environmental signals are evaluated in advance to predict potential blockages or collisions, allowing the control system to adjust the approach trajectory proactively rather than reactively, thus maintaining productivity while preventing harmful outcomes
Solution Approach 2:
The system continuously receives environmental signals from sensors (cameras, radar, LIDAR) about the traffic junction status and uses this feedback to dynamically adjust the vehicle's approach. The control system modifies longitudinal and transverse conduction in real-time based on detected objects, their movements, and predicted trajectories, ensuring safe passage without blocking other vehicles
2Reliability
If the motor vehicle uses complex environmental assessment systems to improve safety, then reliability increases, but device complexity increases
Solution Approach 1:
The environmental assessment system is divided into specialized sensor modules (cameras for visual detection, radar for distance measurement, LIDAR for 3D mapping), each optimized for specific detection tasks. This segmentation allows the system to achieve high reliability through specialized components while managing complexity by assigning specific functions to each sensor type rather than using a single complex system
Solution Approach 2:
The control system integrates multiple sensor inputs and processing functions into a unified automated conduction system. The same control unit that processes environmental signals also generates control signals for both longitudinal and transverse vehicle movement, making the system multi-functional and reducing overall complexity despite the sophisticated environmental assessment capabilities
Data Source
AI summary
A method for conducting a motor vehicle in an at least partially automated manner includes generating and outputting a plurality of approach signals for controlling a transverse and/or a longitudinal conduction of the motor vehicle in order to conduct the motor vehicle in at least a partially automated manner in such a way that the motor vehicle approaches a traffic junction. The method includes receiving a plurality of environmental signals which represent an environment of the motor vehicle while it approaches the traffic junction. The method determines, based on the environmental signals that the motor vehicle may continue to further approach the traffic junction, must stop, and/or must retreat. The method generates and outputs control signals for controlling the transverse and/or longitudinal conduction of the motor vehicle in order to conduct the motor vehicle in at least a partially automated manner according to the determining process.