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 2451–2475 of 6092 papers

TitleStatusHype
A Language Agent for Autonomous DrivingCode0
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments—0
Mind the map! Accounting for existing map information when estimating online HDMaps from sensorCode3
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving—0
Cooperative Perception with Learning-Based V2V communications—0
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Lateral control for autonomous vehicles: A comparative evaluation—0
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges—0
Human-Centric Autonomous Systems With LLMs for User Command ReasoningCode1
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning—0
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks—0
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer—0
Refining the ONCE Benchmark with Hyperparameter Tuning—0
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsCode1
Multi-Agent Quantum Reinforcement Learning using Evolutionary OptimizationCode0
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous DrivingCode2
Lidar Annotation Is All You NeedCode1
PRED: Pre-training via Semantic Rendering on LiDAR Point CloudsCode0
Image Patch-Matching with Graph-Based Learning in Street Scenes—0
Exploring Event-based Human Pose Estimation with 3D Event RepresentationsCode1
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
AGNES: Abstraction-guided Framework for Deep Neural Networks Security—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