Lane keeping assistant using Reinforcement learning
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Updated
May 19, 2020 - Python
Lane keeping assistant using Reinforcement learning
Linear MPC for Lane Keeping and Obstacle Avoidance on Low Curvature Roads - Paper Application
Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images
Autonomous driving in simulators
Autonomous driving simulator using complex mathematical modelling
Development of a Lateral Control System (Lane Keeping System) for Autonomous Vehicles using Adaptive LQR and Gain Scheduling. Implemented on SCANeR Studio and MATLAB/Simulink.
Explore CNN & RNN based model for lane-keeping assistance
Autonomous RC car with cone-based lane keeping, ToF obstacle avoidance, and software-in-the-loop simulation using ROS2
🚘 Lane Keeping robot using an STM32, PlatformIO, and I2C communication protocol.
Bosch Future Mobility Challenge 2020 - Axlenauts
Lane-Keeping with Hybrid Imitation and Reinforcement Learning (PPO). CNN for feature extraction via imitation learning and PPO for reinforcement learning.
Comparative study of Pure Pursuit and Stanley lateral control algorithms for autonomous lane keeping in the CARLA simulator
Lane-keeping guidance system using Python for my 4th-year mechanical engineering (mechatronics) capstone at the University of Toronto. Features real-time lane centering with a a robust PID controller.
Deep Q-Network (DQN) implementation for autonomous Lane Keeping Assistance (LKA) in a simulated environment. Built with TensorFlow.
Autonomous path recording and following for the Husarion ROSbot 3 (ROS 2 Jazzy) — SLAM-based trajectory capture, spline smoothing, AMCL localization + pure-pursuit driving, plus a camera-based lane-keeping mode.
ROS 2 implementation of a PID-based autonomous lane keeping and precise stopping controller developed during the Assiut Motorsport Autonomous Team Newcomer Program.
ADAS prototype with ACC +AEB + LKA in BeamNG.tech v0.38.5; classical CV + PID control
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