Multi-Vehicle Distance Control Using LiDAR Detection Zones
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current advanced driver assistance systems (ADAS) like smart cruise control (SCC) often fail to maintain a safe distance between vehicles, particularly when a second preceding vehicle ahead of the first preceding vehicle is not considered, leading to potential collisions, especially on curved roads.
Innovation Solution
A vehicle system that includes a distance sensor and a controller to detect both the first and second preceding vehicles based on their widths and positions, adjusting speed to maintain a safe distance by determining the traveling speed based on the travel information of both vehicles, using LiDAR and imaging devices to accurately identify and track vehicle positions on straight and curved roads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the SCC system only detects the first preceding vehicle, then the device complexity is reduced, but the reliability of maintaining safe distance deteriorates when a second preceding vehicle is present
Solution Approach 1:
The detection system is segmented into multiple detection zones: a first detection zone for the first preceding vehicle and a second detection zone for the second preceding vehicle. The controller separately processes detection results from both zones, enabling independent identification and tracking of multiple vehicles ahead, thereby improving reliable safe distance maintenance without excessive complexity increase
Solution Approach 2:
The system extends detection from a single-vehicle dimension to a multi-vehicle dimension by adding a second detection zone that looks beyond the first preceding vehicle. This dimensional extension allows the system to perceive vehicles that were previously undetectable due to occlusion, improving reliability while maintaining manageable complexity through structured zone-based detection
2Reliability
If the vehicle speed is adjusted based on both first and second preceding vehicles, then the safe distance maintenance is improved, but the control complexity increases
Solution Approach 1:
The controller acts as an intermediary that receives detection information from both the first and second preceding vehicles, processes this information through structured logic, and determines appropriate speed adjustments. This intermediary processing layer manages the complexity of multi-vehicle consideration by implementing clear decision rules: when both vehicles are detected, the system calculates safe distances to both and adjusts speed accordingly, improving collision avoidance reliability without overwhelming control complexity
3Measurement precision
If the distance sensor detects objects with predetermined width criteria, then the measurement precision of vehicle identification is improved, but the difficulty of detecting and measuring increases on curved roads
Solution Approach 1:
The system applies different detection criteria to different spatial locations: in the first detection zone, objects with predetermined first width are identified as the first preceding vehicle, while in the second detection zone, objects with predetermined second width are identified as the second preceding vehicle. This local quality approach allows precise vehicle identification adapted to each detection zone's characteristics, maintaining measurement precision while managing detection difficulty on curved roads through location-specific parameters
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
Enhances safety by maintaining safe distances between vehicles, reducing the risk of collisions by considering the speed and position of both the first and second preceding vehicles, even when the first preceding vehicle deviates from the road or travels on curved paths.
Implementation Method 1
The distance sensor may include a light detection and ranging (LiDAR)
Data Source
AI summary
A vehicle and a method for controlling the same are provided to determine a traveling speed based on travel information of a first preceding vehicle and a second preceding vehicle. The vehicle includes a drive unit that provides rotational force for vehicle traveling and a distance sensor that detects an object located in a forward direction. A controller first preceding vehicle and a second preceding vehicle located ahead of the first preceding vehicle, which travel on the same traffic road as a traveling road based on the result detected by the distance sensor. The drive unit is operated to adjust a vehicle speed to be at a traveling speed determined based on travel information of the first preceding vehicle and the second preceding vehicle.