Cram3r95

ad_perdevkit

argo2_TGR

argo2goalmp

BEV-MOT-DeepSORT-LiDAR-clustering

LaneGCN_ref

An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)

mapfe4mp

Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.

OpenPCDet-ROS

Sensor-Fusion-Unscented-Kalman-Filter

smartmot

SmartMOT_OLD

Cram3r95/mapfe4mp

Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.

Cram3r95/BEV-MOT-DeepSORT-LiDAR-clustering

Cram3r95/argo2goalmp

Cram3r95/argo2_TGR

Cram3r95/smartmot

Cram3r95/Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

Cram3r95/UCBerkeley-Internship

Cram3r95/ad_perdevkit

Cram3r95/argoverse-api

Official GitHub repository for Argoverse dataset

Cram3r95/argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

Cram3r95/Awesome-Interaction-aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

Cram3r95/Cram3r95

Cram3r95/DenseTNT

Cram3r95/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Cram3r95/kdtree_cpp_based_clustering

Cram3r95/LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

Cram3r95/leaderboard

CARLA Autonomous Driving leaderboard

Cram3r95/markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

Cram3r95/Paper-notes

In this repo I will include my highlighted papers about Motion Prediction, Multi-Object Tracking and Simulation

Cram3r95/pytorch-deeplearning

Cram3r95/scenario_runner

Traffic scenario definition and execution engine

Cram3r95/TNT-Trajectory-Predition

A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

Cram3r95/Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Cram3r95/transfuser

[PAMI'22] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving, [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Cram3r95/VectorNet

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Cram3r95/yet-another-vectornet

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric (WIP)

Cram3r95/sort_gitt

Cram3r95/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

Cram3r95/PhD-thesis

Cram3r95/PhD-thesis-template

This repo contains a generic template for PhD, Msc (TFM) and BsC (TFG) thesis documents mainly designed to be used at the University of Alcala (UAH)