$M^2$-Occ: Resilient 3D Semantic Occupancy Prediction for Autonomous Driving with Incomplete Camera Inputs

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (34)

[1]
FlexMap: Generalized HD Map Construction from Flexible Camera Configurations
2026Run-Min Wang, Chaoyi Zhou et al.
[2]
SafeMap: Robust HD Map Construction from Incomplete Observations
2025Xiaoshuai Hao, Lingdong Kong et al.
[3]
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
2025Sicheng Zuo, Wenzhao Zheng et al.
[4]
STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction
2025Zhimin Liao, Ping Wei et al.
[5]
MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction
2025Zhiqiang Wei, Lianqing Zheng et al.
[6]
UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving
2025Yuping Wang, Xiangyu Huang et al.
[7]
FusionOcc: Multi-Modal Fusion for 3D Occupancy Prediction
2024Shuo Zhang, Yupeng Zhai et al.
[8]
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction
2024Zhenxing Ming, Julie Stephany Berrio et al.
[9]
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
2024Antonín Vobecký, Oriane Sim'eoni et al.
[10]
M-BEV: Masked BEV Perception for Robust Autonomous Driving
2023Siran Chen, Yue Ma et al.
[11]
COTR: Compact Occupancy TRansformer for Vision-Based 3D Occupancy Prediction
2023Qihang Ma, Xin Tan et al.
[12]
MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation
2023Chongjian Ge, Junsong Chen et al.
[13]
UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities
2023Shiming Wang, Holger Caesar et al.
[14]
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
2023Xiaofeng Wang, Zheng Hua Zhu et al.
[15]
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
2023Yunpeng Zhang, Zhengbiao Zhu et al.
[16]
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
2023Yi Wei, Linqing Zhao et al.
[17]
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
2023Xiaofeng Wang, Zhengbiao Zhu et al.
[18]
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion
2023Yiming Li, Zhiding Yu et al.
[19]
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
2023Yuan-Ko Huang, Wenzhao Zheng et al.
[20]
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
2022Zhiwei Lin, Yongtao Wang et al.

Showing 20 of 34 references

Founder's Pitch

"M^2-Occ enhances 3D semantic occupancy prediction for autonomous driving by effectively handling incomplete camera inputs."

Autonomous DrivingScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

4/4 signals

10

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/10/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…

Related Resources