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

Showing 21012125 of 6092 papers

TitleStatusHype
From perception to control: an autonomous driving system for a formula student driverless carCode0
AD-H: Autonomous Driving with Hierarchical AgentsCode0
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical SystemsCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the WorstCode0
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service InferenceCode0
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban ScenesCode0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
Exploring Adversarial Attacks on Neural Networks: An Explainable ApproachCode0
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous DrivingCode0
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
Exploit the Connectivity: Multi-Object Tracking with TrackletNetCode0
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed PredictionCode0
Characterizing Attacks on Deep Reinforcement LearningCode0
APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose RegressionCode0
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent SystemsCode0
Exploiting Local Features and Range Images for Small Data Real-Time Point Cloud Semantic SegmentationCode0
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object DetectionCode0
Exploiting Alpha Transparency In Language And Vision-Based AI Systems0
Explicit Domain Adaptation with Loosely Coupled Samples0
Explanations in Autonomous Driving: A Survey0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving0
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified