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 551600 of 6092 papers

TitleStatusHype
Differential Viewpoints for Ground Terrain Material RecognitionCode1
DeepReach: A Deep Learning Approach to High-Dimensional ReachabilityCode1
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place SolutionCode1
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory PredictionCode1
GUARD: A Safe Reinforcement Learning BenchmarkCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Deep Federated Learning for Autonomous DrivingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous DrivingCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsamplingCode1
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and WhistlesCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language ModelsCode1
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-GeometricCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map ConstructionCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy PretrainingCode1
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
ALSO: Automotive Lidar Self-supervision by Occupancy estimationCode1
Action-Based Representation Learning for Autonomous DrivingCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy PredictionCode1
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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