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 1551–1575 of 6092 papers

TitleStatusHype
Camera-based vehicle velocity estimation from monocular video—0
Camera-Based Localization and Enhanced Normalized Mutual Information—0
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation—0
Camera Agnostic Two-Head Network for Ego-Lane Inference—0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data—0
Adaptive Stream Processing on Edge Devices through Active Inference—0
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception—0
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions—0
6G RIS-aided Single-LEO Localization with Slow and Fast Doppler Effects—0
CalibRBEV: Multi-Camera Calibration via ReversedBird's-eye-view Representations for Autonomous Driving.—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
Calibration Method of the Monocular Omnidirectional Stereo Camera—0
Calibrating Uncertainties in Object Localization Task—0
An Investigation of Denial of Service Attacks on Autonomous Driving Software and Hardware in Operation—0
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network—0
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation—0
CalibFormer: A Transformer-based Automatic LiDAR-Camera Calibration Network—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
6G Internet of Things: A Comprehensive Survey—0
Compromising Embodied Agents with Contextual Backdoor Attacks—0
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving—0
An Independent Study of Reinforcement Learning and Autonomous Driving—0
C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention—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