manthan99
Research Engineer @ RSL, ETH Zurich Roboticist | SLAM |Field Robots
ETH ZurichZurich, Switzerland
manthan99's Stars
leggedrobotics/iPlanner
iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel unsupervised imperative learning approach
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
valeoai/rangevit
allenai/ai2thor
An open-source platform for Visual AI.
bdaiinstitute/theia
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
lpiccinelli-eth/UniDepth
Universal Monocular Metric Depth Estimation
ethz-asl/wavemap
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
eriksandstroem/Splat-SLAM
byangw/PCT_planner
3D navigation based on point cloud tomography
MCG-NJU/SparseOcc
[ECCV 2024] Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
HuaiyuanXu/3D-Occupancy-Perception
[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
vobecant/POP3D
Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"
MapItAnywhere/MapItAnywhere
Source Code for "Map It Anywhere (MIA): Empowering Bird’s Eye View Mapping using Large-scale Public Data"
norlab-ulaval/libpointmatcher
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
VIS4ROB-lab/hyperion
Symbolic Continuous-Time Gaussian Belief Propagation Framework with Ceres Interoperability
MendelXu/SAN
Open-vocabulary Semantic Segmentation
MisEty/RTG-SLAM
RTG-SLAM: Real-time 3D Reconstruction at Scale Using Gaussian Splatting (ACM SIGGRAPH 2024)
zhangganlin/GlORIE-SLAM
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM
baegwangbin/DSINE
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
xiyuez2/MapPrior
NVlabs/FB-BEV
Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception
NVIDIA-AI-IOT/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
dusty-nv/ros_deep_learning
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
google-research/sparf
This is the official code release for SPARF: Neural Radiance Fields from Sparse and Noisy Poses [CVPR 2023-Highlight]
ETHZ-RobotX/smb_common
PruneTruong/DenseMatching
Dense matching library based on PyTorch