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

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Showing 801–850 of 6092 papers

TitleStatusHype
Benchmarking Image Retrieval for Visual LocalizationCode1
Joint Multi-Person Body Detection and Orientation Estimation via One Unified EmbeddingCode1
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign RecognitionCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous DrivingCode1
Benchmarking Robustness of 3D Object Detection to Common CorruptionsCode1
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object DetectionCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoVCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
Edge Federated Learning Via Unit-Modulus Over-The-Air ComputationCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned ApproximationsCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous DrivingCode1
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion ModelCode1
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G NetworksCode1
DVI: Depth Guided Video Inpainting for Autonomous DrivingCode1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
AFDet: Anchor Free One Stage 3D Object DetectionCode1
Dynamic Conditional Imitation Learning for Autonomous DrivingCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous DrivingCode1
DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory PredictionCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Learning hierarchical behavior and motion planning for autonomous drivingCode1
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationCode1
Learning Multiple Initial Solutions to Optimization ProblemsCode1
DualAD: Dual-Layer Planning for Reasoning in Autonomous DrivingCode1
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving ScenariosCode1
Learning to drive from a world on railsCode1
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic ScenesCode1
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation LearningCode1
LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language ModelsCode1
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and MappingCode1
DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous DrivingCode1
DSEC: A Stereo Event Camera Dataset for Driving ScenariosCode1
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal EstimationCode1
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
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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