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 2251–2300 of 6092 papers

TitleStatusHype
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera—0
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints—0
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection—0
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment—0
A Critical Analysis of Image-based Camera Pose Estimation Techniques—0
Dependency Decomposition and a Reject Option for Explainable Models—0
Autoregressive Meta-Actions for Unified Controllable Trajectory Generation—0
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction—0
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications—0
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes—0
Dense Residual Networks for Gaze Mapping on Indian Roads—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration—0
Dense Object Grounding in 3D Scenes—0
A Learning and Masking Approach to Secure Learning—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model—0
A Learnable Color Correction Matrix for RAW Reconstruction—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
Denoising Low-dose Images Using Deep Learning of Time Series Images—0
Autonomous particles—0
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection—0
Graph-Guided Deformation for Point Cloud Completion—0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections—0
A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection—0
A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts—0
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision—0
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control—0
3D Question Answering for City Scene Understanding—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Deformable spatial propagation network for depth completion—0
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving—0
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame—0
DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving—0
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
A Joint 3D-2D based Method for Free Space Detection on Roads—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
Gradient Optimization for Single-State RMDPs—0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images—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