Autonomous Vehicle Trajectory Planning with Dynamic Vehicle Data
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating roads effectively due to the inability of existing systems to account for the behaviors of other vehicles and road conditions, leading to inadequate trajectory planning and potential safety issues.
Innovation Solution
A system comprising sensors, processors, and memory that generates initial vehicle trajectories, acquires and adjusts them based on the trajectories of other vehicles, and navigates accordingly, using data from various sensors like LiDAR, radar, and cameras to maintain safe distances and follow road markings while adapting to dynamic road situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If initial trajectories are generated based solely on road markings and lane dividers, then the navigation system can operate with basic sensor data, but the trajectories do not account for behaviors of other vehicles or road conditions leading to safety issues
Solution Approach 1:
The system performs preliminary actions by acquiring trajectories of other vehicles in advance and using this data to adjust the initial trajectory before navigation begins. This allows the system to proactively account for other vehicles' behaviors and road conditions rather than reacting after conflicts arise
Solution Approach 2:
The system implements feedback by continuously monitoring the trajectories of other vehicles and using this information to adjust the autonomous vehicle's trajectory. The adjustment process incorporates real-time data about other vehicles' paths and behaviors, creating a closed-loop system that adapts to dynamic road conditions
2Reliability
If the system adjusts trajectories to account for other vehicles' behaviors and road conditions, then navigation safety is improved, but the computational complexity and data processing requirements increase
Solution Approach 1:
The system applies partial action by adjusting only the necessary portions of the trajectory based on detected risks from other vehicles and road conditions. Rather than completely redesigning the navigation approach, it selectively modifies specific trajectory parameters where safety concerns arise
Solution Approach 2:
The system changes parameters by modifying trajectory characteristics such as position, speed, and direction based on acquired data about other vehicles. This allows the system to adapt to dynamic conditions by adjusting numerical parameters of the navigation path rather than changing the fundamental navigation logic
Data Source
AI summary
A system of a first vehicle includes sensors and a processor that performs generating of an initial trajectory along a travel route of the first vehicle, acquiring trajectories of second vehicles along the route, adjusting the initial trajectory based on the acquired trajectories of the second vehicles, and navigating the first vehicle based on the adjusted initial trajectory.