Social LSTM using PyTorch for Vehicle Data
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Updated
Oct 14, 2020 - Python
Social LSTM using PyTorch for Vehicle Data
An Android app for scanning VIN's to get vehicle information and recall history.
Files to decode VINs using an altered version of NHTSA's VIN Decoder. The stored procedure has been altered so that relevant data is output in a consistently ordered format to assist processing.
🚗 Python library to provide up-to-date vehicle make and model data.
Basic rules-based power control strategy for a particular HEV Model, based on look-up tables of engine and battery-motor parameters
Bring your car's real-time data into Home Assistant using the Torque Pro OBD-II app. This integration creates dynamic sensors for every OBD-II PID your car reports, so you can automate, visualize, and monitor your vehicle.
BMW MHD log anomaly detector — a damn useful tool for tuners and enthusiasts. Detects log anomalies using Isolation Forests trained on real driving data with binary features for AFR spikes, throttle faults, and RPM anomalies.
Solis is a voice-driven AI race engineer built to interpret live telemetry, simulate strategy calls, and deliver real-time strategic feedback.
Implementation of the standard for the Vehicle Data Specification
This is a web scraper for the website Arabam.com, a Turkish car marketplace. It uses Python with Selenium and BeautifulSoup to pull vehicle data like brand, model, and price, and saves it to a CSV file. It also has a simple graphical user interface (GUI).
Collection of vehicle data using two magnetometers and a ultrasonic sensor and processing the data to find information about the vehicle
Data and code for analysis of vehicle registrations in Luxembourg
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