NeilNie/speed_estimation
Using deep learning to predict the speed of a moving vehicle.
This project helps self-driving car developers and researchers estimate the speed of moving vehicles from a single camera feed. It takes raw video frames as input and outputs the predicted speed of a vehicle, assisting in crucial tasks like collision prevention and autonomous navigation. This tool is for engineers building perception systems for autonomous vehicles.
No commits in the last 6 months.
Use this if you are developing autonomous driving systems and need to predict vehicle speed accurately using visual data.
Not ideal if you need to detect vehicle speed using radar, lidar, or other non-camera based sensors.
Stars
11
Forks
4
Language
Python
License
MIT
Category
Last pushed
Sep 15, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NeilNie/speed_estimation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
arasgungore/car-brand-recognition
Final project assigned for the Introduction to Image Processing (EE 475) course in the Spring...
TariqAlhathloul/Smart-Street
detect and classify road lines, enhancing road safety by identifying no-overtaking zones.
CWLeonis/Car_detection_Deep_learning
detecting model and the name of the cars with deep neural networks like VGG-16 , YOLOv5 and YOLOv8
Sina-Baharlou/Vehicle-Recognition-TLCN
Transfer Learning Approach for Classification and Noise Reduction on Noisy Web Data (ESWA 2018)
JanMuehlnikel/Car-Model-Recognition
Recognizing car models through pictures with deep machine learning