Remote Operator Assisted Driving Collision Avoidance
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Solution Overview
Problem
Existing autonomous driving solutions struggle to handle complex edge cases, particularly in urban environments, and rely on remote human operators who are prone to errors due to fatigue, distraction, and communication latency, leading to potential accidents.
Innovation Solution
A collision avoidance system that calculates a dynamic trajectory of a vehicle and determines whether risk locations are within this path, allowing either a remote operator's decision or an automated decision to override the other when risks are present, ensuring safer navigation by prioritizing conservative driving decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If remote human operators are used to handle edge cases, then the ability to handle complex driving situations is improved, but human error and latency issues increase
Solution Approach 1:
The vehicle computing unit autonomously monitors risk locations and determines when to override remote operator decisions without requiring continuous human intervention. The system serves itself by automatically detecting risks within the dynamic trajectory and executing collision avoidance maneuvers independently.
Solution Approach 2:
The system continuously monitors the dynamic trajectory and risk locations, providing real-time feedback to determine when automated override is necessary. This closed-loop feedback mechanism allows the system to adjust its level of automation dynamically based on the presence and severity of risks.
2Reliability
If automated collision avoidance systems are implemented, then collision prevention is improved, but the complexity of the system increases
Solution Approach 1:
The automated system applies different levels of control based on local conditions - it only activates collision avoidance when risk locations are detected within the dynamic trajectory. The system transitions between passive monitoring and active intervention based on the specific situation, rather than operating at a fixed complexity level.
Solution Approach 2:
The control system is segmented into distinct functional modules: dynamic trajectory calculation, risk location identification, decision-making logic, and execution control. This modular segmentation allows the complex automated system to be managed as separate, manageable components that only interact when necessary.
3Productivity
If remote operators switch between multiple vehicles, then operational efficiency is improved, but disorientation and decision errors increase
Solution Approach 1:
The vehicle computing unit independently monitors its own dynamic trajectory and risk conditions without requiring continuous operator attention. The system autonomously detects when risks exist and executes appropriate maneuvers, eliminating the need for operators to maintain constant concentration across multiple vehicles.
Solution Approach 2:
The automated collision avoidance system acts as an intermediary between the remote operator and the vehicle control systems. It filters and processes critical safety information, presenting only essential decisions to the operator while handling routine safety monitoring autonomously.
Data Source
AI summary
A vehicle computing unit and method for collision avoidance. The method includes calculating a dynamic trajectory of a vehicle, wherein the dynamic trajectory of the vehicle indicates a projected movement path of the vehicle; determining whether at least one risk location is within the dynamic trajectory of the vehicle; operating the vehicle based on a driving decision selected from among a first driving decision and a second driving decision when at least one risk location is within the dynamic trajectory of the vehicle, wherein the first driving decision is determined based on inputs by an operator of the vehicle, wherein the second driving decision is determined by a vehicle computing unit of the vehicle; and operating the vehicle based on the inputs by the operator of the vehicle when no risk location is within the dynamic trajectory of the vehicle.