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 10011050 of 6092 papers

TitleStatusHype
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Latent Discriminant deterministic UncertaintyCode1
Visual Knowledge TracingCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLACode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
Latency-Aware Collaborative PerceptionCode1
UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-ViewCode1
Semantic Novelty Detection via Relational ReasoningCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
NeFSAC: Neurally Filtered Minimal SamplesCode1
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Teachers in concordance for pseudo-labeling of 3D sequential dataCode1
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
Mirror Complementary Transformer Network for RGB-thermal Salient Object DetectionCode1
Open-world Semantic Segmentation for LIDAR Point CloudsCode1
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event CamerasCode1
PolarFormer: Multi-camera 3D Object Detection with Polar TransformerCode1
SRCN3D: Sparse R-CNN 3D for Compact Convolutional Multi-View 3D Object Detection and TrackingCode1
Pedestrian 3D Bounding Box PredictionCode1
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous DrivingCode1
MGNet: Monocular Geometric Scene Understanding for Autonomous DrivingCode1
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic SegmentationCode1
Multi-Agent Car Parking using Reinforcement LearningCode1
S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous DrivingCode1
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and WhistlesCode1
Benchmarking Constraint Inference in Inverse Reinforcement LearningCode1
ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoVCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain AdaptationCode1
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong BaselineCode1
A Search-Based Testing Approach for Deep Reinforcement Learning AgentsCode1
ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and MappingCode1
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory PredictionCode1
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision ModelsCode1
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous DrivingCode1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous DrivingCode1
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous DrivingCode1
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object DetectionCode1
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World ModelsCode1
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object DetectorsCode1
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
Flexible Diffusion Modeling of Long VideosCode1
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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