Remote Vehicle Control Using Infrastructure Sensing and Server Mediation
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Solution Overview
Problem
Implementing level-5 autonomous driving in vehicles is costly and unstable due to the need for high-performance sensors, which are expensive and insufficient when mounted only on individual vehicles.
Innovation Solution
A method and server for remotely controlling vehicles using sensing data from installed devices in a certain area, allowing for vehicle control without the need for expensive sensors on the vehicle, by establishing a session, receiving sensing data, tracking spaces, obtaining vehicle control information, and transmitting it to the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If high-performance sensors are mounted on vehicles for level-5 autonomous driving, then autonomous driving capability is improved, but cost and device complexity increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary between multiple vehicles and the central control system. This server collects, processes, and integrates sensing data from fixed infrastructure sensors, then distributes processed information to vehicles. This intermediary approach allows vehicles to achieve autonomous driving capability without carrying expensive high-performance sensors, as the server acts as a centralized processing hub that compensates for individual vehicle sensor limitations
Solution Approach 2:
The patent creates a universal sensing infrastructure where fixed sensors in the environment serve multiple vehicles simultaneously. Instead of each vehicle requiring its own dedicated sensor system, the same infrastructure sensors provide data for multiple vehicles' autonomous driving operations. This multi-functional approach reduces overall system cost and complexity while maintaining autonomous driving capability across the vehicle fleet
2Extent of automation
If high-performance sensors are mounted on vehicles for level-5 autonomous driving, then autonomous driving capability is improved, but cost increases significantly
Solution Approach 1:
The patent merges the sensing function from individual vehicles into a centralized infrastructure-based system. By combining multiple fixed sensors into a coordinated network managed by a server, the system achieves collective autonomous driving support without requiring expensive sensors on each vehicle. This merging approach consolidates costs into infrastructure deployment rather than per-vehicle equipment
Solution Approach 2:
The patent creates a virtual copy of the sensing environment through centralized data processing. Instead of physically equipping each vehicle with expensive sensors, the system creates digital representations of the environment through fixed sensors and processes this data centrally, then provides appropriate information to vehicles. This virtual sensing approach maintains autonomous driving capability while avoiding the cost of physical sensor duplication across vehicles
3Extent of automation
If sensors are mounted only on individual vehicles, then autonomous driving is achieved, but stability is insufficient due to limited sensing coverage
Solution Approach 1:
The patent transitions from a vehicle-centric sensing model to an environment-centric sensing model by adding the spatial dimension of fixed infrastructure sensors. Instead of relying solely on sensors moving with each vehicle, the system incorporates stationary sensors distributed throughout the environment, creating a multi-dimensional sensing network that provides comprehensive and stable coverage independent of individual vehicle positions
Solution Approach 2:
The patent implements a feedback mechanism where the server continuously collects sensing data from fixed infrastructure, processes this information, and provides updated environmental models to vehicles. This closed-loop feedback system ensures vehicles receive stable and accurate sensing information, improving reliability by constantly refreshing the environmental understanding based on current conditions rather than relying solely on onboard sensors
Data Source
AI summary
Proposed is a server for remotely controlling a vehicle configured to establish a session for remote control of a vehicle to be transported. The server may receive sensing data from a plurality of sensing devices installed in a certain area, and track spaces corresponding to the certain area, based on the received sensing data. The server may also obtain vehicle control information according to a location of the vehicle to be transported, based on object information related to objects in the tracked spaces and vehicle information about the vehicle to be transported. The server may further transmit the obtained vehicle control information to the vehicle to be transported.


