Code from the Technion F1Tenth Team for the 2022-23 season, advised by Dr. Kiril Solovey and the CRML Laboratory of the Technion's Faculty of Electrical and Computer Engineering.
Throughout the second stage of an F1TENTH race vehicles engage in head-to-head racing. We need to be able to not only detect the other car but ideally "predict" its future state to better inform our behavior and online planning nodes.
Primary Tasks
Implement a computer vision algorithm in the onboard camera to detect the adversarial car
Look into pure LIDAR based options to locate the car
Handle the case where the car is not visible (ETH Zurich team used a ghost car tracking an ideal raceline)
andykamin3
commented
9 months ago
Description
Throughout the second stage of an F1TENTH race vehicles engage in head-to-head racing. We need to be able to not only detect the other car but ideally "predict" its future state to better inform our behavior and online planning nodes.
Primary Tasks