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 55765600 of 6092 papers

TitleStatusHype
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban ScenesCode0
Propagating Confidences through CNNs for Sparse Data RegressionCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose RegressionCode0
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough RoadsCode0
GhostImage: Remote Perception Attacks against Camera-based Image Classification SystemsCode0
Classification of Time-Series Data Using Boosted Decision TreesCode0
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Temporally smooth online action detection using cycle-consistent future anticipationCode0
Semantic Segmentation for Urban-Scene ImagesCode0
Adaptive Performance Assessment For Drivers Through Behavioral AdvantageCode0
HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving ScenariosCode0
Decomposition Methods with Deep Corrections for Reinforcement LearningCode0
Temporal Robustness of Stochastic SignalsCode0
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsCode0
XAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving SystemsCode0
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality MetaversesCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionCode0
Generating 3D Adversarial Point CloudsCode0
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal VerificationCode0
Neural Observation Field Guided Hybrid Optimization of Camera PlacementCode0
Neural Enhanced Belief Propagation for Multiobject TrackingCode0
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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