lasnik
PhD student in machine learning/computer vision. Working on leveraging generative models to help solve problems in autonomous driving.
Stuttgart, Germany
lasnik's Stars
autonomousvision/navsim
[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
PJLab-ADG/OASim
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
waymo-research/waymax
A JAX-based simulator for autonomous driving research.
SS47816/DriveSceneGen
[RA-L 2024] DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
MCZhi/GameFormer
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
OpenDriveLab/DriveAdapter
[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion
dsx0511/3DMOTFormer
Offical implementation of ICCV2023 paper 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.
mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
OpenDriveLab/End-to-end-Autonomous-Driving
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
autonomousvision/carla_garage
[ICCV'23] Hidden Biases of End-to-End Driving Models
autonomousvision/tuplan_garage
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
EdwardLeeLPZ/PowerBEV
POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.
NVlabs/traffic-behavior-simulation
hustvl/MapTR
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
autonomousvision/plant
[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
nicpopovic/RE1st
Code for AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities
nicpopovic/FREDo
Code and data for NAACL 2022 paper Few-Shot Document-Level Relation Extraction
autonomousvision/king
[ECCV'22] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
againerju/maad_highway
Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.
againerju/r_u_maad
A benchmark dataset in Realistic Urban settings for Multi-Agent Anomaly Detection. Including code for the dataset, the baseline models and the evaluation.
opendilab/InterFuser
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
schmidt-ju/scene
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
cgtuebingen/SpatialDETR
Official implementation of SpatialDETR. The paper will be presented at ECCV 2022
nv-tlabs/STRIVE
Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"
peiyunh/ff
Safe Local Motion Planning with Self-Supervised Freespace Forecasting, CVPR 2021
MCZhi/DIPP
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving