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

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Showing 2351–2400 of 6092 papers

TitleStatusHype
NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system—0
Neurosymbolic Value-Inspired AI (Why, What, and How)—0
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free EnvironmentsCode2
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach—0
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving ScenesCode2
Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMixCode1
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning—0
Autonomous driving of trucks in off-road environment—0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
LMDrive: Closed-Loop End-to-End Driving with Large Language ModelsCode2
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Spatiotemporal Event Graphs for Dynamic Scene Understanding—0
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning—0
Evaluation of Large Language Models for Decision Making in Autonomous Driving—0
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup AnnotationsCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object TrackingCode1
Interpretable Long Term Waypoint-Based Trajectory Prediction Model—0
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Recent Advances in Deterministic Human Motion Prediction: A Review—0
Dynamic Adversarial Attacks on Autonomous Driving SystemsCode0
Camera-based 3D Semantic Scene Completion with Sparse Guidance NetworkCode1
Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles—0
GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding—0
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive ReviewCode2
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation—0
Bootstrapping Autonomous Driving Radars with Self-Supervised LearningCode1
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model ProgramsCode1
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
Towards Knowledge-driven Autonomous DrivingCode2
Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes—0
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous DrivingCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
Open-sourced Data Ecosystem in Autonomous Driving: the Present and FutureCode2
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?Code2
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control—0
Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction—0
WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene GenerationCode1
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR—0
IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal ImagesCode0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty AwarenessCode2
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy PredictionCode1
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—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