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 2551–2600 of 6092 papers

TitleStatusHype
Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learningCode0
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection—0
UniPAD: A Universal Pre-training Paradigm for Autonomous DrivingCode2
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving ResearchCode3
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Performance/power assessment of CNN packages on embedded automotive platforms—0
DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion modelCode2
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous DrivingCode3
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
Optimizing the Placement of Roadside LiDARs for Autonomous Driving—0
TopoMLP: A Simple yet Strong Pipeline for Driving Topology ReasoningCode2
Safe-by-Construction Autonomous Vehicle Overtaking using Control Barrier Functions and Model Predictive Control—0
Layout Sequence Prediction From Noisy Mobile Modality—0
Joint object detection and re-identification for 3D obstacle multi-camera systems—0
HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving ScenariosCode0
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather DataCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation—0
Combining UPerNet and ConvNeXt for Contrails Identification to reduce Global WarmingCode0
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions—0
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges—0
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving—0
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous DrivingCode2
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic SegmentationCode1
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous DrivingCode1
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
You Only Look at Once for Real-time and Generic Multi-TaskCode2
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Streaming Motion Forecasting for Autonomous DrivingCode1
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
Towards Robust 3D Object Detection In Rainy Conditions—0
Offline Tracking with Object PermanenceCode1
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis—0
GPT-Driver: Learning to Drive with GPTCode2
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings—0
MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending—0
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation—0
A Survey on Deep Learning Techniques for Action Anticipation—0
GAIA-1: A Generative World Model for Autonomous DrivingCode2
Superpixel Transformers for Efficient Semantic Segmentation—0
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection—0
Gated Cross-Attention Network for Depth Completion—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
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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