Vehicle Collision Warning for Pedestrian Alerts and Selective Braking
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Solution Overview
Problem
Conventional collision avoidance systems in vehicles with autonomous driving technology fail to prevent collisions with pedestrians due to unexpected movements, as they primarily focus on providing warnings to the vehicle driver and not the pedestrian, and do not account for varying collision risks.
Innovation Solution
A collision warning apparatus that utilizes sensors to detect surrounding objects, calculates collision prediction information including location, time to collision, and risk, and provides warnings or controls vehicle braking based on these calculations to prevent collisions with pedestrians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the collision avoidance system provides warnings only to the vehicle driver, then the driver receives timely alerts, but collision accidents caused by unexpected pedestrian movement cannot be prevented
Solution Approach 1:
The patent introduces an external warning device as an intermediary between the vehicle's collision detection system and pedestrians. This external warning device receives collision risk information from the controller and transmits warnings directly to pedestrians through speakers or light emitters positioned outside the vehicle, enabling direct communication with vulnerable road users rather than relying solely on driver awareness
Solution Approach 2:
The warning system is segmented into multiple independent warning channels: internal warnings to the driver (steering wheel vibration, seat vibration, audio warnings) and external warnings to pedestrians (external speakers, light emitters). This segmentation allows the system to simultaneously address both driver awareness and pedestrian alertness without interference between the two functions
2Reliability
If the collision avoidance system provides uniform warnings to all detected objects, then the system is simple to operate, but it cannot provide differentiated warnings based on collision risk
Solution Approach 1:
The patent applies local quality by providing different warning intensities and types to different surrounding objects based on their individual collision risks. The controller calculates separate collision risks for each detected object and selectively activates warning devices according to the specific risk level of each object, rather than applying a uniform warning threshold to all objects
Solution Approach 2:
The system changes warning parameters (intensity, type, duration) based on calculated collision risk parameters. When collision risk exceeds a threshold, the controller activates external warning devices with intensity proportional to the risk level, allowing dynamic adjustment of warning characteristics to match the actual danger level of each situation
3Reliability
If the vehicle performs braking for all detected collision risks, then collision prevention is maximized, but unnecessary braking actions occur reducing productivity
Solution Approach 1:
The patent implements partial action by providing external warnings to pedestrians without immediately activating full vehicle braking for all detected risks. The controller first attempts to alert pedestrians through external warning devices, and only initiates vehicle braking when the collision risk exceeds a higher threshold or when pedestrian avoidance is insufficient, thereby avoiding unnecessary braking while maintaining safety
Data Source
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AI summary
According to an aspect of the present disclosure, a collision warning apparatus of a vehicle may include an information acquisition device that obtains surrounding object information and vehicle information and a controller that generates collision prediction information of a surrounding object based on the surrounding object information and the vehicle information and provides a warning to an outside of the vehicle or generates control information for controlling braking of the vehicle while providing the warning to the outside of the vehicle based on the collision prediction information.