Deep Learning Practice 66 - Autonomous driving technology based on computer vision, using YOLOP model to realize vehicle area detection frame, drivable area and lane line segmentation map - Code World

Deep Learning Practice 66 - Autonomous driving technology based on computer vision, using YOLOP model to realize vehicle area detection frame, drivable area and lane line segmentation map

Enterprise 2023-12-17 04:41:08 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/weixin_42878111/article/details/134860635

Deep Learning Practice 66 - Autonomous driving technology based on computer vision, using YOLOP model to realize vehicle area detection frame, drivable area and lane line segmentation map

Automated driving multi-task framework Hybridnets - Simultaneously process vehicle detection, drivable area segmentation, lane line segmentation model deployment (C++/Python)

R language deep learning practice: development of autonomous driving vision system

Vehicle kinematics model in autonomous driving

Fundamentals of autonomous driving technology: from computer vision to path planning

opencv lane line detection practice

Research and implementation of lane line detection technology based on Matlab

Deep Reinforcement Learning and Its Application in Autonomous Driving: DRL&ADS Series Part 4: Decision-making of Autonomous Vehicle Behavior Using DRL and High-Fidelity Simulation Environment

How to apply deep learning to computer vision tasks such as object detection and image segmentation?

Target Detection | Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Network algorithm notes

Computer Vision - Flying Paddle Deep Learning Practice - Deep Learning Network Model

PPLiteSeg real-time semantic segmentation prediction results output control unmanned vehicle steering angle direction to realize unmanned driving along the lane

Deep Learning and Autonomous Driving - by MIT

[Paper reading] Physical backdoor attack on lane detection system in autonomous driving

Deep learning and computer vision practice learning (4) The simplest picture classification - handwritten digit recognition (based on MXNet)

Application of deep learning in machine vision: classification, target detection and semantic segmentation

opencv practice project - simple lane line detection

Defect detection based on deep learning recognition model

Target detection YOLO practical application case 100 lectures - Camellia oleifera target detection based on computer vision and deep learning (continued)

Target detection YOLO practical application case 100 lectures - Camellia oleifera target detection based on computer vision and deep learning

Summary of Map Matching and Positioning Technology in Autonomous Driving

Thoroughly understand the application of Transformer algorithm in detection/segmentation/3D vision/automatic driving/visual large model

YOLOv5 vehicle ranging practice: using target detection technology to achieve vehicle distance estimation

Machine learning notes - neural architecture search technology NAS based on Python to find the best computer vision model

Lane Line Detection Traditional Method & Deep Learning Method Overview + Two Papers Lead Reading LaneATT+LaneNet

How-important-is-deep-learning-in-autonomous-driving

SAM segmentation model downstream task test: target segmentation based on detection frame

Development of early detection model of building fire based on computer vision

Autonomous driving-study notes for rectangular frame detection

Intelligent vehicle driving behavior analysis based on VGG-16+Android+Python - deep learning algorithm application (including all engineering source codes) + data set + model (3)

Recommended

Ranking

45 kinds of ultra-wide design patterns!

AI testing, promising now and promising future: The industry’s first AI testing cheats are released

2019-12-08

Summary of 260 common network security interview questions (with answer analysis + supporting materials)

Java front-end compilation and back-end compilation understanding

The difference and connection between YARN and Zookeeper

Database knowledge point accumulation day02

Data structure review-Binary tree traversal (end-of-term series)

PBR流程介绍和模型规范

Inaction Store Information

Daily

More

2025-04-30(0)

2025-04-29(0)

2025-04-28(0)

2025-04-27(0)

2025-04-26(0)

2025-04-25(0)

2025-04-24(0)

2025-04-23(0)

2025-04-22(0)

2025-04-21(0)