Driver Assistance System for Seamless Autonomous Control
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Solution Overview
Problem
Existing driver assistance systems in motor vehicles often cause unnecessary interruptions and stress by bringing vehicles to a standstill in critical situations, limiting driver freedom and increasing traffic flow disruptions, while also failing to seamlessly continue driving after critical events.
Innovation Solution
A driver assistance system that temporarily switches to an autonomous second operating mode, allowing the vehicle to continue driving without driver intervention in critical situations, using ego and environmental data to predict and manage driving conditions, and automatically switching back to driver control when safe.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance system brings the vehicle to a standstill in critical situations, then collision prevention is improved, but traffic flow disruption and driver stress increase
Solution Approach 1:
The system dynamically adapts its response based on the criticality of the situation. Instead of always bringing the vehicle to a standstill, it applies progressive braking intervention that can range from gentle warnings to full emergency braking, optimizing both safety and traffic flow based on real-time assessment of the threat level
Solution Approach 2:
The system changes the braking parameter from binary (stop or go) to continuous (progressive braking force). By adjusting the braking intensity as a variable parameter rather than a fixed action, the system can maintain collision prevention while minimizing unnecessary complete stops that disrupt traffic flow
2Reliability
If the driver assistance system intervenes early in critical situations, then driving safety is improved, but driver freedom is limited
Solution Approach 1:
The system applies partial intervention by providing progressive warnings and assisted braking rather than immediate full intervention. It starts with subtle alerts and only escalates to complete autonomous braking when necessary, thereby maintaining driver freedom while ensuring safety through early but graduated action
Solution Approach 2:
The system continuously monitors driver response to interventions and adjusts its level of control accordingly. If the driver accepts or overrides the intervention, the system learns and adapts, providing feedback loops that balance safety requirements with driver autonomy and preference
3Reliability
If the driver assistance system brings the vehicle to a standstill, then collision mitigation is improved, but vehicle position becomes suboptimal and obstructs other road users
Solution Approach 1:
The system performs preliminary assessment of the driving situation and predicts future trajectories before intervention is needed. By pre-calculating safe stopping positions and alternative paths, it can mitigate collisions while maintaining optimal vehicle positioning that does not obstruct traffic flow
Data Source
AI summary
A motor vehicle comprising at least one driver assistance system (2) to pre-calculate future driving situations of the motor vehicle (1) for a specified time interval by evaluating ego data related to the motor vehicle (1) and environmental data related to the motor vehicle environment, wherein the motor vehicle (1) is controllable by a driver in a first operating mode of the driver assistance system (2), wherein the driver assistance system (2) is designed, upon fulfillment of one switchover condition dependent at least upon future driving situations, to be temporarily switched over into a second operating mode in which the motor vehicle (1) is autonomously controlled by the driver assistance system (2) without the possibility of intervention by the driver, wherein driving is continued in the second operating mode.