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 4101–4150 of 6092 papers

TitleStatusHype
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?Code1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous DrivingCode1
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
Memory Replay with Data Compression for Continual LearningCode1
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
Beyond NaN: Resiliency of Optimization Layers in The Face of InfeasibilityCode0
Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility VehiclesCode0
Infrastructure-enabled GPS Spoofing Detection and Correction—0
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving ScenariosCode1
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits—0
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers—0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving—0
Quantification of Actual Road User Behavior on the Basis of Given Traffic RulesCode0
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components—0
Integrated Multiscale Domain Adaptive YOLO—0
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera IntrinsicsCode1
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation—0
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment—0
Formal Certification Methods for Automated Vehicle Safety Assessment—0
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey—0
Fast-Spherical-Projection-Based Point Cloud Clustering Algorithm—0
Temporal Robustness of Stochastic SignalsCode0
Learning Interpretable, High-Performing Policies for Autonomous DrivingCode1
Fixed-Point Code Synthesis For Neural Networks—0
Ad-datasets: a meta-collection of data sets for autonomous drivingCode1
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning MethodCode2
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving—0
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation—0
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification—0
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks—0
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving—0
Few-Shot Backdoor Attacks on Visual Object TrackingCode1
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms—0
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds—0
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions—0
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving—0
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study—0
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities—0
Adaptive Instance Distillation for Object Detection in Autonomous Driving—0
Motion Estimation and Compensation in Automotive MIMO SAR—0
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving—0
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT—0
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic ContradictionCode1
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
Lifelong Learning MetricsCode1
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving—0
Object Detection in Autonomous Vehicles: Status and Open Challenges—0
Show:102550
← PrevPage 83 of 122Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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