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 3951–4000 of 6092 papers

TitleStatusHype
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents—0
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving—0
Efficient Synthesis of Compact Deep Neural Networks—0
Efficient Video Understanding via Layered Multi Frame-Rate Analysis—0
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction—0
EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization—0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation—0
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning—0
Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds—0
EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models—0
Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception—0
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making—0
Eliminating Backdoors in Neural Code Models for Secure Code Understanding—0
Ellipse Loss for Scene-Compliant Motion Prediction—0
Embedded Acoustic Intelligence for Automotive Systems—0
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection—0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula—0
Embodied Laser Attack:Leveraging Scene Priors to Achieve Agent-based Robust Non-contact Attacks—0
Embodied AI-Driven Operation of Smart Cities: A Concise Review—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting—0
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection—0
Emergency Vehicles Audio Detection and Localization in Autonomous Driving—0
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks—0
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey—0
EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection—0
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
Empowering Autonomous Driving with Large Language Models: A Safety Perspective—0
Enable an Open Software Defined Mobility Ecosystem through VEC-OF—0
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving—0
Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card—0
Enabling Next-Generation V2X Perception: Wireless Rigid Body Localization and Tracking—0
Enabling Robots to Communicate their Objectives—0
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections—0
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving—0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review—0
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving—0
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving—0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box—0
End-to-End Deep Reinforcement Learning for Lane Keeping Assist—0
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning—0
End-to-end driving simulation via angle branched network—0
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data—0
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving—0
Multi-task UNet architecture for end-to-end autonomous driving—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