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 4076–4100 of 6092 papers

TitleStatusHype
Uncertainty-Aware DNN for Multi-Modal Camera Localization—0
Informed Priors for Knowledge Integration in Trajectory Prediction—0
Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks—0
Exploring Effects of Computational Parameter Changes to Image Recognition Systems—0
Non-line-of-sight imaging with arbitrary illumination and detection pattern—0
Parametrically driven inertial sensing in chip-scale optomechanical cavities at the thermodynamical limits with extended dynamic range—0
Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds—0
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss—0
Multi-Camera Calibration Free BEV Representation for 3D Object Detection—0
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM—0
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems—0
MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving—0
Li3DeTr: A LiDAR based 3D Detection Transformer—0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?—0
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image—0
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics—0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
Continual Vision-based Reinforcement Learning with Group Symmetries—0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier—0
Learning Preferences for Interactive AutonomyCode0
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification—0
Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks—0
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale—0
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey—0
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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