基于改进的YOLOv8的自动驾驶汽车道路目标检测算法
Jianping Gao1, Haotian Li1, Zhe Li2
1College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, 471000, Henan, China.
Scientific reports
|July 1, 2025
概括
本研究介绍了YOLOv8-RTDAV,这是一种用于自动驾驶汽车道路目标检测的增强算法. 它提高了近距离,重叠物体和远距离小目标的准确性,这对于安全的自动驾驶至关重要.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 自主系统 自主系统
背景情况:
- 自动驾驶技术在很大程度上依赖于车载摄像头准确识别道路目标.
- 复杂的交通环境导致在检测近距离和远距离的道路目标方面存在挑战.
- 现有的算法在重叠对象的错误检测和远距离对象的错误检测方面扎.
研究的目的:
- 为自动驾驶汽车开发一个改进的道路目标检测算法.
- 解决近距离重叠目标的错误检测和远距离目标的错误检测问题.
- 提高道路物体识别的整体准确性和可靠性.
主要方法:
- 拟议的YOLOv8-RTDAV算法基于YOLOv8n.
- 引入了用于近距离目标的高效通道注意力 (ECA) 的C2f-EFB模块.
- 添加了一个P2小目标检测层,用于远程目标.
- 用SPPF模块取代了SPPF,并使用DySample进行了改进的特征捕捉.
- 增强了从CIOU到EIOU的损失函数.
主要成果:
- 与YOLOv8n.相比,YOLOv8-RTDAV在KITTI和TT100K数据集上显示了更好的准确性.
- 成功改进了近距离重叠的道路目标的识别.
- 增加了远距离小目标的识别率.
结论:
- 拟议的YOLOv8-RTDAV算法有效地提高了自动驾驶汽车的道路目标检测.
- 这些改进解决了现实世界驾驶场景中的关键挑战.
- 这有助于更安全,更可靠的自动驾驶系统.
相关概念视频
Relative Motion Analysis using Rotating Axes-Problem Solving
453
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Here, in order to determine the magnitude of velocity and acceleration for point...
453
Design Example: Alignment of a Road Line Using GIS
109
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...
109
Difference from Background: Limit of Detection
7.1K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
7.1K
Rolling Resistance: Problem Solving
466
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
466
Improving Translational Accuracy
11.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.9K
Relative Motion Analysis using Rotating Axes
549
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
549


