SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1801–1850 of 6092 papers

TitleStatusHype
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving—0
Generating Multimodal Driving Scenes via Next-Scene Prediction—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models—0
ChatStitch: Visualizing Through Structures via Surround-View Unsupervised Deep Image Stitching with Collaborative LLM-Agents—0
Driving behavior recognition via self-discovery learning—0
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving—0
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization—0
Robust3D-CIL: Robust Class-Incremental Learning for 3D Perception—0
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions—0
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsCode0
ChatBEV: A Visual Language Model that Understands BEV Maps—0
SAM2 for Image and Video Segmentation: A Comprehensive Survey—0
OptiPMB: Enhancing 3D Multi-Object Tracking with Optimized Poisson Multi-Bernoulli Filtering—0
A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives—0
AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction—0
Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey—0
SparseAlign: A Fully Sparse Framework for Cooperative Object Detection—0
Point Cloud Based Scene Segmentation: A Survey—0
L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model—0
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training—0
Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
Active Learning from Scene Embeddings for End-to-End Autonomous Driving—0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving—0
TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models—0
Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal SpaceCode0
Finetuning Generative Trajectory Model with Reinforcement Learning from Human Feedback—0
MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
TARS: Traffic-Aware Radar Scene Flow Estimation—0
Unlock the Power of Unlabeled Data in Language Driving Model—0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latant Space—0
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving—0
Hybrid Rendering for Multimodal Autonomous Driving: Merging Neural and Physics-Based Simulation—0
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation—0
Simulator Ensembles for Trustworthy Autonomous Driving Testing—0
Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems—0
FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback—0
JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data—0
Simulating Automotive Radar with Lidar and Camera Inputs—0
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving—0
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations—0
Temporal Triplane Transformers as Occupancy World Models—0
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified