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tpnet

tracknpred

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

trafficpredict

Pytorch implementation for "TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents"

trajectory-prediction-tools

A tool set for trajectory prediction, ready for pip install

trajectory_prediction

utilize LSTM and information from digital map to predict the trajectory of vehicles at an intersection

ultra-fast-lane-detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

v2v_cooperative_localization

vectornet

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

vehicle-localization-single-rsu-single-receiver

vehicle-trajectory-prediction-on-ngsim

vehicle_collision_prediction_using_cnn-lstms

Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.

wimp

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨

yet-another-vectornet

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric with preprocessed data, pre-trained weights, and val/test results.