Autonomous Vehicle Guidance System with Dynamic Trajectory Overlay
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle guidance systems rely on driver recognition of obstacles through captured images or limited computer-based alerts, lacking enhanced obstacle recognition and dynamic overlays to assist in vehicle maneuverability, especially for autonomous vehicles.
Innovation Solution
An autonomous vehicle guidance system incorporating a steering apparatus, camera devices, video processing modules, object recognition software, and communication modules to detect and navigate around objects using dynamic trajectory generation and historical information, with the ability to adjust extrinsic calibration for improved image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver recognition of obstacles through captured images is used, then system complexity is reduced, but obstacle recognition capability is insufficient
Solution Approach 1:
The patent introduces a video processing module as an intermediary between the camera device and the driver. This module automatically detects obstacles in captured images and generates dynamic trajectory overlays, mediating between raw visual data and driver decision-making. This resolves the contradiction by enhancing obstacle recognition capability through automated processing while keeping the overall system architecture manageable through modular design.
Solution Approach 2:
The patent replaces manual driver recognition with automated computer-based obstacle detection and trajectory generation systems. By substituting the mechanical/cognitive process of driver observation with electronic image processing and algorithmic trajectory calculation, the system achieves superior obstacle recognition capability while maintaining reasonable system complexity through software-based solutions.
2Ease of operation
If limited computer-based obstacle recognition is used, then system complexity is reduced, but vehicle maneuverability assistance is insufficient
Solution Approach 1:
The patent implements dynamic trajectory generation that adapts to changing vehicle states and obstacle positions. The trajectory overlay is continuously updated based on real-time camera input, vehicle motion data, and obstacle detection, providing dynamic maneuverability assistance rather than static guidance. This enhances ease of operation while managing complexity through event-driven updates rather than continuous heavy processing.
Solution Approach 2:
The patent adds a visual overlay dimension to the traditional obstacle detection system. By projecting dynamic trajectory guidance directly onto the video image displayed to the driver, the system provides intuitive maneuverability assistance in the visual domain, enhancing ease of operation without requiring additional physical controls or complex driver interactions.
3Ease of operation
If dynamic trajectory generation with multiple parameters is used, then vehicle maneuverability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary calibration of the camera system and trajectory generation algorithms during system setup or idle periods. By pre-computing calibration parameters and storing them for rapid retrieval during operation, the system reduces real-time processing requirements while maintaining accurate dynamic trajectory generation, thus improving vehicle maneuverability without excessive processing time delays.
Data Source
AI summary
A vehicle guidance system facilitates maneuvering of an autonomous vehicle with respect to an object in a scene. The vehicle includes a steering apparatus having a range of angular positions and a multitude of actuators for controlling the dynamics of the vehicle. The system includes a steering angle sensor, a camera device, and a video processing module. The sensor is configured to monitor the angular position of the wheel. The device is configured to capture an original image of a scene having the object. The module is configured to receive and process the original image from the device, detect the object in the original image, receive and process the angular position from the sensor, generate a dynamic trajectory based on at least the angular position, orientate the dynamic trajectory with regard to the object, and operate at least one of the actuators to guide the vehicle along the dynamic trajectory.