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 5501–5550 of 6092 papers

TitleStatusHype
On Offline Evaluation of Vision-based Driving ModelsCode0
SegRet: An Efficient Design for Semantic Segmentation with Retentive NetworkCode0
Predicting Deeper into the Future of Semantic SegmentationCode0
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Predicting Model Failure using Saliency Maps in Autonomous Driving SystemsCode0
Urban Driving with Multi-Objective Deep Reinforcement LearningCode0
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty QuantificationCode0
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition ModelsCode0
3D Multi-Object Tracking Employing MS-GLMB Filter for Autonomous DrivingCode0
AD-H: Autonomous Driving with Hierarchical AgentsCode0
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute ModelsCode0
Weak-to-Strong 3D Object Detection with X-Ray DistillationCode0
BACS: Background Aware Continual Semantic SegmentationCode0
YCB-LUMA: YCB Object Dataset with Luminance Keying for Object LocalizationCode0
TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/VideosCode0
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous DrivingCode0
Heterogeneous-Agent Trajectory Forecasting Incorporating Class UncertaintyCode0
A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar DataCode0
HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night SceneCode0
Online Distillation with Continual Learning for Cyclic Domain ShiftsCode0
PRED: Pre-training via Semantic Rendering on LiDAR Point CloudsCode0
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object DetectionCode0
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality SignalsCode0
Hard Cases Detection in Motion Prediction by Vision-Language Foundation ModelsCode0
Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL ChallengeCode0
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation StrategyCode0
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object ClassificationCode0
Baconian: A Unified Open-source Framework for Model-Based Reinforcement LearningCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionCode0
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian ManifoldsCode0
Pre-training on Synthetic Driving Data for Trajectory PredictionCode0
On a Formal Model of Safe and Scalable Self-driving CarsCode0
PRIBOOT: A New Data-Driven Expert for Improved Driving SimulationsCode0
Architecturing Binarized Neural Networks for Traffic Sign RecognitionCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer OptimizationCode0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic ScenariosCode0
Guiding Attention in End-to-End Driving ModelsCode0
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
Ground then Navigate: Language-guided Navigation in Dynamic ScenesCode0
Transformer-Based Sensor Fusion for Autonomous Driving: A SurveyCode0
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic SegmentationCode0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban EnvironmentCode0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
GRIP: Graph-based Interaction-aware Trajectory PredictionCode0
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory PredictionCode0
Show:102550
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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