Cloud Platoon Obstacle Avoidance With Predicted Free Space
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Solution Overview
Problem
Conventional autonomous vehicle platooning systems require excessive sensing devices, leading to high costs and calculation burdens, lack message sharing, and have limited free space for simultaneous obstacle avoidance, making them inefficient and unsafe.
Innovation Solution
An allochronic obstacle avoidance system utilizing a cloud processing unit to predict and decide obstacle avoidance for leading and following vehicles, dynamically adjusting free space based on shared vehicle parameters, reducing equipment and calculation costs while enhancing safety and intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each autonomous vehicle is equipped with a large number of sensing devices to provide environment perception and positioning ability, then the vehicle can achieve autonomous navigation and obstacle avoidance, but the cost and calculation amount increase significantly
Solution Approach 1:
The patent merges the sensing and calculation resources of multiple vehicles in the platoon into a unified cloud-based system. The leading vehicle collects environmental data using its sensors, while following vehicles rely on cloud-processing of this shared data, eliminating the need for each vehicle to have complete sensing equipment.
Solution Approach 2:
The cloud server acts as an intermediary between the leading vehicle's sensors and the following vehicles' control systems. It receives environmental perception data from the leading vehicle, processes trajectory information, and distributes optimized navigation commands to following vehicles, reducing their individual computational burdens.
2Reliability
If conventional autonomous vehicle platoon following performs obstacle avoidance for multiple vehicles at the same time, then each vehicle can avoid obstacles independently, but the free space required is too conservative and the operating range is too small
Solution Approach 1:
The system performs preliminary trajectory planning for all following vehicles based on the leading vehicle's detected obstacles and the predicted platoon trajectory. By pre-calculating safe paths considering the sequential positions of all vehicles, the system avoids the need for each vehicle to maintain large conservative safety margins, thereby reducing the total free space requirement while maintaining safety.
3Adaptability or versatility
If conventional autonomous vehicle platoon following has no message sharing between vehicles, then each vehicle operates independently, but it is impossible to plan a trajectory in advance
Solution Approach 1:
The system establishes a feedback loop where the leading vehicle continuously sends environmental perception data and obstacle information to the cloud server, which then updates the platoon trajectory in real-time. Following vehicles receive these updated trajectory commands, enabling advance planning while maintaining adaptability to changing conditions through continuous feedback from the environment.
Data Source
AI summary
An allochronic obstacle avoidance system for platooning is configured to decide an obstacle avoidance of a leading vehicle and at least one following vehicle. A sensing device is configured to generate an obstacle position and an obstacle speed. A leading vehicle processing unit is configured to transmit a leading vehicle parameter group. At least one following vehicle processing unit is configured to transmit at least one following vehicle parameter group. A cloud processing unit is configured to implement a cloud deciding step including predicting a leading vehicle free space and at least one following vehicle free space according to the leading vehicle parameter group and the at least one following vehicle parameter group, and deciding the obstacle avoidance of the leading vehicle and the at least one following vehicle according to the leading vehicle free space and the at least one following vehicle free space.