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2020"同路人"交通科技大赛参赛项目——《自动驾驶换道轨迹规划——择优、学优到更优》强化学习部分后端
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
Lane Changes in a Highway environment using Reinforcement learning in SUMO
LSTM lane-changing detection utilizing highD dataset
Using LSTM to predict the path of the driverless vehicle
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection
Today I learn
This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learning under Noisy Observations
Path Prediction using LSTM model
Vehicle Trajectory Prediction with Deep Learning Models
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