Lidar Cargo Zone Object Detection for Driverless Vehicles
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Solution Overview
Problem
In driverless vehicles, there is no one to notice objects left behind, leading to a need for a technological solution to detect and inform users of such objects.
Innovation Solution
A system using a computer programmed to actuate a lidar to collect data in cargo zones, emitting a light beam and determining the response time to identify objects, with the ability to divide zones and associate them with users, informing users via a device upon arrival at their destination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a driverless vehicle operates without a human driver, then automation level increases, but the ability to detect and notice objects left in the vehicle is lost
Solution Approach 1:
The vehicle system performs self-monitoring using lidars and sensors to detect objects in cargo zones without human intervention. The system automatically scans, identifies, and notifies users about left-behind objects, enabling the vehicle to serve its own monitoring needs despite operating autonomously.
Solution Approach 2:
The patent replaces the human visual inspection mechanism with automated optical sensing systems (lidars). These electronic/optical systems emit light beams, measure response times, and process data to detect objects, substituting the biological human sensing system with engineered physical systems.
2Measurement precision
If the cargo zone is divided into multiple detection zones, then object detection coverage improves, but system complexity increases
Solution Approach 1:
The cargo zone is divided into multiple detection zones, each monitored by specific lidars. This segmentation allows comprehensive coverage of the entire cargo area by breaking it down into manageable sections, with each section having dedicated sensing resources.
Solution Approach 2:
Multiple lidars are configured to scan different detection zones, but each lidar can potentially monitor multiple zones or be reassigned based on detection needs. The system uses a unified data processing approach that handles data from all zones through a single notification system, reducing overall complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively detects objects left in vehicles and notifies users, ensuring they retrieve their belongings, enhancing user experience and reducing loss.
Implementation Method 1
actuate the lidar to emit a light beam into the cargo zone, receive a reflected light beam
Implementation Method 2
determine a response time between emitting the light beam and receiving the reflected light beam
Data Source
AI summary
A lidar is actuated to collect data in a cargo zone in a vehicle. Upon identifying an object in the cargo zone, based on the collected lidar data, output to a user device is actuated.


