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 2551–2600 of 6092 papers

TitleStatusHype
D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation—0
Attention for Adversarial Attacks: Learning from your Mistakes—0
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds—0
Cycle-Consistent World Models for Domain Independent Latent Imagination—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
CyberLoc: Towards Accurate Long-term Visual Localization—0
Informed Priors for Knowledge Integration in Trajectory Prediction—0
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction—0
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications—0
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation—0
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information—0
Attention-based U-Net Method for Autonomous Lane Detection—0
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception—0
How Much Depth Information can Radar Contribute to a Depth Estimation Model?—0
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving—0
Influencing Towards Stable Multi-Agent Interactions—0
Attention-based Adversarial Appearance Learning of Augmented Pedestrians—0
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving—0
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios—0
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution—0
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction—0
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention—0
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions—0
InfinityDrive: Breaking Time Limits in Driving World Models—0
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU—0
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection—0
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention—0
HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative—0
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception—0
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?—0
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving—0
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks—0
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models—0
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?—0
How to deal with glare for improved perception of Autonomous Vehicles—0
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies—0
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report—0
How to Promote Autonomous Driving with Evolving Technology: Business Strategy and Pricing Decision—0
Holistic Grid Fusion Based Stop Line Estimation—0
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning—0
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation—0
HPL-ViT: A Unified Perception Framework for Heterogeneous Parallel LiDARs in V2V—0
Affordance Learning In Direct Perception for Autonomous Driving—0
HPRM: High-Performance Robotic Middleware for Intelligent Autonomous Systems—0
HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes—0
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion—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