AutoSim (Machine Learning & Neural Networks)
Mastered car driving mechanics in a simulation, achieving 95% realism and responsiveness, utilizing advanced JavaScript algorithms.
Tools
Neural Networks · LiDAR · JavaScript · Machine Learning · Git
Timeline
12 weeks
Created a dynamic 3-4 lane road network simulation with intricate design, featuring 10 AI-controlled traffic cars, successfully emulating 90% of real-world driving conditions.
Engineered simulations of various sensors, including LiDAR and cameras, achieving 98% accuracy in virtual perception and environmental interactions.
