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 4951–5000 of 6092 papers

TitleStatusHype
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction—0
ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation—0
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning—0
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data—0
Provably-Robust Runtime Monitoring of Neuron Activation Patterns—0
Provably Safe Reinforcement Learning with Step-wise Violation Constraints—0
Provident Vehicle Detection at Night for Advanced Driver Assistance Systems—0
Pruned Lightweight Encoders for Computer Vision—0
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge—0
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding—0
Ensemble-based Semi-supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving—0
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision—0
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems—0
PSF-LO: Parameterized Semantic Features Based Lidar Odometry—0
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning—0
Psychophysical Evaluation of Deep Re-Identification Models—0
PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection—0
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU—0
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment—0
PV-SSD: A Multi-Modal Point Cloud Feature Fusion Method for Projection Features and Variable Receptive Field Voxel Features—0
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation—0
Physical Informed Driving World Model—0
QEBA: Query-Efficient Boundary-Based Blackbox Attack—0
QML for Argoverse 2 Motion Forecasting Challenge—0
QoS prediction in radio vehicular environments via prior user information—0
Q-PETR: Quant-aware Position Embedding Transformation for Multi-View 3D Object Detection—0
QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation—0
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving—0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles—0
Quadric Representations for LiDAR Odometry, Mapping and Localization—0
Quality at the Tail of Machine Learning Inference—0
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images—0
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction—0
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control—0
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations—0
Querying Labeled Time Series Data with Scenario Programs—0
QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks—0
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception—0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild—0
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation—0
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras—0
R4D: Utilizing Reference Objects for Long-Range Distance Estimation—0
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models—0
Radar^2: Passive Spy Radar Detection and Localization using COTS mmWave Radar—0
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets—0
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles—0
Radar Camera Fusion via Representation Learning in Autonomous Driving—0
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Radar Interference Mitigation for Automated Driving—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