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 4001–4025 of 6092 papers

TitleStatusHype
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving—0
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals—0
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects—0
A Survey on Reinforcement Learning Security with Application to Autonomous Driving—0
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks—0
Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention—0
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection—0
SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection—0
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding—0
Reinforcement Learning for Predicting Traffic Accidents—0
DONEX: Real-time occupancy grid based dynamic echo classification for 3D point cloud—0
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving VehiclesCode0
OCR-RTPS: An OCR-based real-time positioning system for the valet parking—0
Complete Solution for Vehicle Re-ID in Surround-view Camera System—0
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework—0
Artificial Intelligence Security Competition (AISC)—0
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modellingCode0
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds—0
An advanced YOLOv3 method for small object detection—0
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic—0
FBLNet: FeedBack Loop Network for Driver Attention Prediction—0
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction—0
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning—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