Hybrid Rail Obstacle Detection System for Autonomous Driving
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Solution Overview
Problem
Current obstacle identification systems for rail vehicles, both track-side and vehicle-side, face challenges in providing sufficient forward view, resolution, and accurate classification, particularly in mixed traffic environments, hindering autonomous driving on routes with goods and high-speed trains.
Innovation Solution
A method and system that dynamically coordinate track-side and vehicle-side obstacle identification arrangements to derive reaction signals for adapting the rail vehicle's driving behavior, using evaluation signals from both systems to optimize hybridized cooperation and ensure safe autonomous operation by adjusting speed and behavior based on obstacle type and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If track-side obstacle identification arrangement is used, then forward view coverage is improved, but resolution and obstacle classification accuracy deteriorate
Solution Approach 1:
The patent combines track-side obstacle identification arrangement with vehicle-side obstacle identification arrangement to create a hybrid system. The track-side arrangement provides wide coverage while the vehicle-side arrangement compensates for resolution and classification accuracy limitations, achieving both broad coverage and precise identification.
Solution Approach 2:
The system dynamically switches between and integrates data from track-side and vehicle-side identification arrangements based on operational conditions. The hybridized dynamic cooperation allows the system to adaptively use the strengths of each arrangement depending on the specific situation, improving both coverage and accuracy.
2Measurement precision
If vehicle-side obstacle identification arrangement is used, then obstacle classification accuracy is improved, but forward view coverage deteriorates
Solution Approach 1:
The patent merges vehicle-side obstacle identification with track-side obstacle identification to create a complementary hybrid system. The vehicle-side arrangement provides accurate classification while the track-side arrangement extends forward view coverage, achieving both precision and broad detection area.
3Reliability
If hybridized dynamic cooperation of track-side and vehicle-side obstacle identification arrangements is implemented, then autonomous driving safety is improved, but system complexity increases
Solution Approach 1:
The control device is designed to handle multiple functions: it processes data from both track-side and vehicle-side identification arrangements, derives evaluation signals, determines reactions, and adapts driving behavior. This multi-functional design integrates the hybrid system while managing complexity through unified control logic.
Solution Approach 2:
The system uses feedback loops where the control device continuously receives data from both identification arrangements, evaluates obstacle situations, determines appropriate reactions, and adapts driving behavior accordingly. This feedback mechanism ensures safe autonomous operation by constantly monitoring and responding to detected obstacles.
Data Source
AI summary
A method uses a track-side obstacle identification arrangement and a vehicle-side obstacle identification arrangement in order to identify obstacles in a danger zone in front of a rail vehicle. In order to allow improved autonomous driving of the rail vehicle, it is provided that, as it approaches a relevant one of the obstacles, at least one reaction or response of the rail vehicle is derived depending on an evaluation signal of the track-side obstacle identification arrangement and an actual value of at least one variable which characterizes the effectiveness or performance of the vehicle-side obstacle identification arrangement. A system for identifying obstacles is also provided.