daniel-bogdoll
Working on the Mobility of Tomorrow. Research Scientist at FZI and PhD student at KIT with a focus on deep learning for autonomous driving.
FZIKarlsruhe, Germany
Pinned Repositories
ad-datasets
Complete* list of autonomous driving related datasets
ad-deadlines
Countdown for all* relevant conferences in the domain of autonomous driving
ad_datasets_influence
Repository of the paper Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets
anomaly_datasets
Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"
ConferenceTemplate
LaTeX template for scientific papers with some tips on structure, style, and language. Ready to go for IEEE and arXiv submissions. Best used with Overleaf.
deep_generative_models
Repository of the paper Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models at ML4AD @ NeurIPS 2021.
machine_learning
Machine Learning Nanodegree and courses
MUVO
Code for the paper "MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations"
phd
AD4AD: Anomaly Detection for Autonomous Driving
unknown_objects_roads
Repository of the paper Multimodal Detection of Unknown Objects on Roads for Autonomous Driving at IEEE SMC
daniel-bogdoll's Repositories
daniel-bogdoll/phd
AD4AD: Anomaly Detection for Autonomous Driving
daniel-bogdoll/unknown_objects_roads
Repository of the paper Multimodal Detection of Unknown Objects on Roads for Autonomous Driving at IEEE SMC
daniel-bogdoll/ad-datasets
Complete* list of autonomous driving related datasets
daniel-bogdoll/ConferenceTemplate
LaTeX template for scientific papers with some tips on structure, style, and language. Ready to go for IEEE and arXiv submissions. Best used with Overleaf.
daniel-bogdoll/anomaly_datasets
Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"
daniel-bogdoll/ad-deadlines
Countdown for all* relevant conferences in the domain of autonomous driving
daniel-bogdoll/MUVO
Code for the paper "MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations"
daniel-bogdoll/carla_hello_world
First steps with CARLA 0.9.14
daniel-bogdoll/model_contradictions
BA of Vincent Geppert
daniel-bogdoll/agent_based_av
On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach
daniel-bogdoll/supervised_unsupervised_anomaly
daniel-bogdoll/Co-DETR
[ICCV 2023] DETRs with Collaborative Hybrid Assignments Training
daniel-bogdoll/daniel-bogdoll
daniel-bogdoll/dreamerv3
Mastering Diverse Domains through World Models
daniel-bogdoll/fiftyone
Refine high-quality datasets and visual AI models
daniel-bogdoll/fisheye-warping
Dewarp top-down fisheye image to panorama and rewarp panorama to fisheye image.
daniel-bogdoll/Grounded-SAM-2
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
daniel-bogdoll/hf2vad_ad
Adaption of HF2-VAD for autonomous driving
daniel-bogdoll/matsim-berlin
The MATSim Open Berlin Scenario
daniel-bogdoll/MoCaE
The official implementation of "MoCaE: Mixture of Calibrated Experts Significantly Improves Accuracy in Object Detection"
daniel-bogdoll/nuscenes-devkit
The devkit of the nuScenes dataset for Python 3.12
daniel-bogdoll/Open_world_3D_semantic_segmentation
[ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds
daniel-bogdoll/personal
This is my personal website
daniel-bogdoll/pred_ano_dec_world_model
daniel-bogdoll/RbA
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
daniel-bogdoll/Relation-DETR
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position Relation Prior for Object Detection"
daniel-bogdoll/Stable-DINO
[ICCV 2023] Official implementation of the paper "Detection Transformer with Stable Matching"
daniel-bogdoll/synboost
Paper implementation of SynBoost
daniel-bogdoll/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
daniel-bogdoll/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.