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 1601–1650 of 6092 papers

TitleStatusHype
NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World ModelsCode0
NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic SegmentationCode0
NextStop: An Improved Tracker For Panoptic LIDAR Segmentation DataCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal VerificationCode0
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving ScenesCode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving SystemsCode0
Neural Observation Field Guided Hybrid Optimization of Camera PlacementCode0
Beat the MTurkers: Automatic Image Labeling from Weak 3D SupervisionCode0
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformationsCode0
Dimensionality of datasets in object detection networksCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
An Active Learning Reliability Method for Systems with Partially Defined Performance FunctionsCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
Neural Enhanced Belief Propagation for Multiobject TrackingCode0
Balancing Two Classifiers via A Simplex ETF Structure for Model CalibrationCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
MV-MOS: Multi-View Feature Fusion for 3D Moving Object SegmentationCode0
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
Multispectral Pedestrian Detection via Simultaneous Detection and SegmentationCode0
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior PredictionCode0
ShelfNet for Fast Semantic SegmentationCode0
Baidu Apollo EM Motion PlannerCode0
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads using Deep Convolutional NetworkCode0
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional NetworksCode0
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
Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving SystemsCode0
BadDet: Backdoor Attacks on Object DetectionCode0
Multi-modality Anomaly Segmentation on the RoadCode0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
Scalable End-to-End Autonomous Vehicle Testing via Rare-event SimulationCode0
BACS: Background Aware Continual Semantic SegmentationCode0
Multi-Agent Tensor Fusion for Contextual Trajectory PredictionCode0
Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object TrackingCode0
Baconian: A Unified Open-source Framework for Model-Based Reinforcement LearningCode0
Multi-Agent Quantum Reinforcement Learning using Evolutionary OptimizationCode0
Multi-Agent Connected Autonomous Driving using Deep Reinforcement LearningCode0
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action PredictionCode0
Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated VehiclesCode0
MTD: Multi-Timestep Detector for Delayed Streaming PerceptionCode0
Backdoor Attack through Frequency DomainCode0
Attacking by Aligning: Clean-Label Backdoor Attacks on Object DetectionCode0
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object DetectionCode0
Detection of False Positive and False Negative Samples in Semantic SegmentationCode0
MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingCode0
Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility VehiclesCode0
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