Related Experiment Videos
DSE-YOLO11: Dynamic feature adaptation for key traffic element detection in complex road scenes
Yange Chen1, Baohua Guo1,2, David Bassir3,4
1School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan, China.
Plos One
|June 1, 2026
Summary
DSE-YOLO11 enhances traffic element detection in complex road scenes by improving recall and mAP50. This lightweight model reduces missed detections of small, safety-critical traffic elements for autonomous driving.
Area of Science:
- Computer Vision
- Artificial Intelligence
- Autonomous Systems
Background:
- Accurate detection of traffic elements is crucial for autonomous driving and intelligent transportation systems.
- Lightweight detectors struggle with small targets, scale variations, and cluttered backgrounds in complex road scenes.
Purpose of the Study:
- To propose DSE-YOLO11, a lightweight object detection model for robust traffic element detection in complex road scenes.
- To improve the detection of small, irregular, and safety-relevant traffic elements.
Main Methods:
- Developed DSE-YOLO11, a RAD-oriented adaptation of YOLO11n, integrating DynamicConv, SlimNeck, and Efficient Attention Mechanism (EMA).
- Employed a dynamic convolution-based backbone for enhanced local feature modeling.
- Utilized a lightweight neck for efficient cross-scale feature interaction.
- Incorporated an attention mechanism to reduce background interference.
Main Results:
- DSE-YOLO11 improved recall from 0.744 to 0.811 and mAP50 from 0.810 to 0.856 on the RAD dataset.
- The model maintains a low parameter count (2.96M) and computational cost (7.1 GFLOPs).
- Demonstrated practical significance by reducing missed detections of critical traffic elements.
Conclusions:
- DSE-YOLO11 offers a robust and efficient solution for traffic element detection in challenging road environments.
- The proposed integration strategy enhances detection performance without significant increases in model complexity.
- Preliminary validation on BDD100K suggests broader applicability, warranting further research.
Related Concept Videos
01:24Absolute Motion Analysis- General Plane Motion
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...
01:17Design Example: Alignment of a Road Line Using GIS
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
01:10Relative Motion Analysis - Acceleration
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...