LIDAR Semantic Segmentation

53 papers with code • 4 benchmarks • 7 datasets

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Libraries

Use these libraries to find LIDAR Semantic Segmentation models and implementations
6 papers
1,038
3 papers
267

Optimizing LiDAR Placements for Robust Driving Perception in Adverse Conditions

ywyeli/place3d 25 Mar 2024

The robustness of driving perception systems under unprecedented conditions is crucial for safety-critical usages.

11
25 Mar 2024

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation

Pointcept/Pointcept 21 Mar 2024

This exploration led to the creation of Omni-Adaptive 3D CNNs (OA-CNNs), a family of networks that integrates a lightweight module to greatly enhance the adaptivity of sparse CNNs at minimal computational cost.

1,038
21 Mar 2024

Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation

unmannedlab/lidar-reflectivity-segmentation 19 Mar 2024

Additionally, we also investigate the possible benefits of using calibrated intensity in semantic segmentation in urban environments (SemanticKITTI) and cross-sensor domain adaptation.

1
19 Mar 2024

Off-Road LiDAR Intensity Based Semantic Segmentation

moonlabiiserb/lidar-intensity-predictor 2 Jan 2024

LiDAR is used in autonomous driving to provide 3D spatial information and enable accurate perception in off-road environments, aiding in obstacle detection, mapping, and path planning.

0
02 Jan 2024

Point Transformer V3: Simpler, Faster, Stronger

facebookresearch/SparseConvNet 15 Dec 2023

This paper is not motivated to seek innovation within the attention mechanism.

1,982
15 Dec 2023

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

ldkong1205/Robo3D 7 Dec 2023

Firstly, a frustum feature encoder module is used to extract per-point features within the frustum region, which preserves scene consistency and is crucial for point-level predictions.

267
07 Dec 2023

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

Pointcept/Pointcept 12 Oct 2023

In this paper, we introduce a novel universal 3D pre-training framework designed to facilitate the acquisition of efficient 3D representation, thereby establishing a pathway to 3D foundational models.

1,038
12 Oct 2023

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving

pjlab-adg/3dtrans 19 Sep 2023

Our contributions are threefold: (1) Occupancy prediction is shown to be promising for learning general representations, which is demonstrated by extensive experiments on plenty of datasets and tasks.

558
19 Sep 2023

UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase

pjlab-adg/pcseg ICCV 2023

Besides, we construct the OpenPCSeg codebase, which is the largest and most comprehensive outdoor LiDAR segmentation codebase.

285
11 Sep 2023

HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks

dzcgaara/HuBo-VLM 24 Aug 2023

Human robot interaction is an exciting task, which aimed to guide robots following instructions from human.

6
24 Aug 2023