wljungbergh

Ph.D. student @zenseact and Linköping University researching e2e autonomous driving

zenseactGothenburg, Sweden

Pinned Repositories

neuro-ncap
NeuroNCAP benchmark for end-to-end autonomous driving
113 11 22
neurad-studio
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
Language:Python319 33 4722
bev_baseline
A Simple Baseline for BEV Perception
Language:Python1 0 00
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Language:Python0 0 00
mpc-trajectory-generator
A trajectory generator utilizing the A-star algorithm in conjunction with a Nonlinear Model Predictive Control solver to obtain a smooth trajectory that satisfies vehicle constraints.
Language:Python44 2 011
nuplan_garage
[ARXIV'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Language:Python00
pose-malone
HackTheCrisis Pose Estimator pose-malone
Language:Python0 0 00
research-blog
This repo holds the code that host the zenseact research blog.
Language:JavaScript2 3 04
zod
Software Development Kit for the Zenseact Open Dataset (ZOD)
Language:Python95 6 2413
zod-web
This repository hosts the Zenseact Open Dataset website.
Language:HTML20

wljungbergh/mpc-trajectory-generator
A trajectory generator utilizing the A-star algorithm in conjunction with a Nonlinear Model Predictive Control solver to obtain a smooth trajectory that satisfies vehicle constraints.
Language:Python44 2 011
wljungbergh/bev_baseline
A Simple Baseline for BEV Perception
Language:Python1 0 00
wljungbergh/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Language:Python0 0 00
wljungbergh/nuplan_garage
[ARXIV'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Language:Python00
wljungbergh/pose-malone
HackTheCrisis Pose Estimator pose-malone
Language:Python0 0 00
wljungbergh/snake-ai
Reinforcement Learning snake-ai
Language:Python0 1 00
wljungbergh/wljungbergh
Config files for my GitHub profile.
0 1 00
wljungbergh/wljungbergh.github.io
My personal webiste to document my progress in research, and life
Language:SCSS0 1 00
wljungbergh/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Language:Jupyter Notebook0 0 00
wljungbergh/UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
Language:Python
wljungbergh/VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Language:Python