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 1551–1600 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
Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking—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
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance—0
DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos—0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles—0
Burn-In Demonstrations for Multi-Modal Imitation Learning—0
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks—0
Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
Model Hijacking Attack in Federated Learning—0
DyTTP: Trajectory Prediction with Normalization-Free Transformers—0
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection—0
A New Architecture for Neural Enhanced Multiobject Tracking—0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving—0
Adaptive Neural Networks for Intelligent Data-Driven Development—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection—0
Adaptive Kalman-based hybrid car following strategy using TD3 and CACC—0
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting—0
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems—0
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice—0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting—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