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 1801–1850 of 6092 papers

TitleStatusHype
Decision-making and control with diffractive optical networksCode0
Boundary State Generation for Testing and Improvement of Autonomous Driving SystemsCode0
Learning Preferences for Interactive AutonomyCode0
Learning to Cluster for Proposal-Free Instance SegmentationCode0
Learning Guided Convolutional Network for Depth CompletionCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
DC-Scene: Data-Centric Learning for 3D Scene UnderstandingCode0
Learning End-to-end Autonomous Driving using Guided Auxiliary SupervisionCode0
Learning image representations tied to ego-motionCode0
Learning an Uncertainty-Aware Object Detector for Autonomous DrivingCode0
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical SystemsCode0
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting MachinesCode0
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear SelectionCode0
Large-Scale Object Discovery and Detector Adaptation from Unlabeled VideoCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement LearningCode0
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement LearningCode0
LaneNet: Real-Time Lane Detection Networks for Autonomous DrivingCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Bias Behind the Wheel: Fairness Testing of Autonomous Driving SystemsCode0
Language-Driven Active Learning for Diverse Open-Set 3D Object DetectionCode0
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic SegmentationCode0
Learning mixture of domain-specific experts via disentangled factors for autonomous drivingCode0
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous DrivingCode0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
KDMOS:Knowledge Distillation for Motion SegmentationCode0
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency TransferCode0
Just Go with the Flow: Self-Supervised Scene Flow EstimationCode0
Knowledge Graphs of Driving Scenes to Empower the Emerging Capabilities of Neurosymbolic AICode0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesCode0
Relevance Attack on DetectorsCode0
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and GoalsCode0
Attacking Vision-based Perception in End-to-End Autonomous Driving ModelsCode0
On Adversarial Robustness of Point Cloud Semantic SegmentationCode0
Inverse Reinforcement Learning in Contextual MDPsCode0
Learning Monocular Depth by Distilling Cross-domain Stereo NetworksCode0
Affordable Modular Autonomous Vehicle Development PlatformCode0
Intention-Aware Control Based on Belief-Space Specifications and Stochastic ExpansionCode0
Instance Segmentation by Deep ColoringCode0
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map LearningCode0
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic SegmentationCode0
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous DrivingCode0
Increasing Data Efficiency of Driving Agent By World ModelCode0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time ApplicationsCode0
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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