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 22512275 of 6092 papers

TitleStatusHype
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints0
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection0
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment0
A Critical Analysis of Image-based Camera Pose Estimation Techniques0
Dependency Decomposition and a Reject Option for Explainable Models0
Autoregressive Meta-Actions for Unified Controllable Trajectory Generation0
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction0
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications0
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes0
Graph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems0
Dense Residual Networks for Gaze Mapping on Indian Roads0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process0
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration0
Dense Object Grounding in 3D Scenes0
A Learning and Masking Approach to Secure Learning0
GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS0
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model0
A Learnable Color Correction Matrix for RAW Reconstruction0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color0
Denoising Low-dose Images Using Deep Learning of Time Series Images0
Autonomous particles0
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare0
Goal-based Neural Physics Vehicle Trajectory Prediction Model0
GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning0
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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