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 2951–3000 of 6092 papers

TitleStatusHype
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases—0
PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network—0
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough RoadsCode0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction—0
VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection—0
Evaluation and Improvement of Fault Detection for Large Language Models—0
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint—0
Intention-Aware Control Based on Belief-Space Specifications and Stochastic ExpansionCode0
Transfer Learning Study of Motion Transformer-based Trajectory Predictions—0
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity AnalysisCode0
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation—0
Real-Time Detection and Analysis of Vehicles and Pedestrians using Deep Learning—0
Sparse Laneformer—0
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning—0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks—0
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving—0
Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data—0
Identification of Fine-grained Systematic Errors via Controlled Scene Generation—0
Label-Efficient 3D Object Detection For Road-Side Units—0
Autonomous Driving Small-Scale Cars: A Survey of Recent Development—0
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph SegmentationCode0
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning—0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory PredictionCode0
Residual Chain Prediction for Autonomous Driving Path Planning—0
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather—0
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
Human Detection from 4D Radar Data in Low-Visibility Field Conditions—0
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs—0
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night SceneCode0
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction—0
Scaling Motion Forecasting Models with Ensemble Distillation—0
Exploring Probabilistic Models for Semi-supervised Learning—0
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning—0
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks—0
Ego-Motion Aware Target Prediction Module for Robust Multi-Object TrackingCode0
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset—0
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving—0
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban EnvironmentCode0
Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection—0
Improving Bird's Eye View Semantic Segmentation by Task Decomposition—0
Heuristic Optimization of Amplifier Reconfiguration Process for Autonomous Driving Optical Networks—0
Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications—0
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder—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