Rear Collision Warning Using Bounding-Volume Risk Detection
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Solution Overview
Problem
Teleoperated vehicles face a high risk of rear-end collisions due to violations of traffic rules by other participants, necessitating improved control methods to prevent such collisions.
Innovation Solution
A method involving computer vision techniques to identify rear risk objects through bounding volumes in rear-view images, determining distance information, and performing safety maneuvers to avoid collisions, utilizing video and audio data from sensors and real-time object detection systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If teleoperation is used to remotely control vehicles, then vehicle mobility service can be provided without drivers inside vehicles, but the risk of rear-end collisions increases due to delayed reaction time and reliance on remote operators
Solution Approach 1:
The patent introduces an automated detection and warning system as an intermediary between the remote environment and the teleoperated vehicle. The system includes sensors (cameras, LIDAR, radar) that detect objects in the vehicle's path, process this data locally, and provide real-time warnings to both the remote operator and the vehicle's control system, creating a mediating layer that enhances safety without requiring the operator to be physically present
Solution Approach 2:
The system performs preliminary detection and analysis of potential collision risks before they materialize. By continuously monitoring the environment with sensors and processing data in real-time, the system identifies hazards in advance and provides early warnings to the teleoperator, enabling preventive action before the situation escalates to a actual collision
2Extent of automation
If real-time remote monitoring and control is implemented, then vehicle teleoperation is enabled, but system complexity increases due to required sensors, communication infrastructure, and processing systems
Solution Approach 1:
The patent employs multi-functional sensor systems that serve multiple purposes: cameras detect visual information for both monitoring and collision detection, LIDAR provides both environmental mapping and distance measurement, and radar detects both object presence and velocity. This multi-functionality reduces the need for separate specialized systems, thereby managing complexity while maintaining comprehensive teleoperation capabilities
Solution Approach 2:
The system includes onboard processing capabilities that automatically analyze sensor data and generate warnings without requiring constant remote intervention. The teleoperated vehicle's system processes local environmental data, identifies risks, and provides alerts autonomously, reducing the communication burden and simplifying the overall system architecture by distributing intelligence between vehicle and remote operator
Data Source
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AI summary
The present invention relates to a method for controlling a vehicle, in particular a teleoperated vehicle, comprising the steps of: providing an image of a rear view of the vehicle; performing a computer vision technique on the image, thereby identifying a rear risk object with a bounding volume; determining an information, in particular a distance information, of the rear risk object based on at least one parameter of the bounding volume; and performing a maneuver with the vehicle based on the information, in particular the distance information.