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 4351–4400 of 6092 papers

TitleStatusHype
Injecting Planning-Awareness into Prediction and Detection EvaluationCode1
Hierarchical Potential-based Reward Shaping from Task SpecificationsCode0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
Reversible Attack based on Local Visual Adversarial Perturbation—0
Influencing Towards Stable Multi-Agent Interactions—0
A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks—0
Deep Instance Segmentation with Automotive Radar Detection Points—0
CertainNet: Sampling-free Uncertainty Estimation for Object Detection—0
Marginally calibrated response distributions for end-to-end learning in autonomous drivingCode0
Cycle-Consistent World Models for Domain Independent Latent Imagination—0
Classification of Time-Series Data Using Boosted Decision TreesCode0
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning—0
How To Not Drive: Learning Driving Constraints from Demonstration—0
Emergency Vehicles Audio Detection and Localization in Autonomous Driving—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Transferability Estimation for Semantic Segmentation Task—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents—0
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts—0
Joint Self-Supervised Learning for Vision-based Reinforcement Learning—0
Lidar Range Image Compression with Deep Delta Encoding—0
Explanation-Aware Experience Replay in Rule-Dense EnvironmentsCode0
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation—0
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous DrivingCode1
Learning Interpretable BEV Based VIO without Deep Neural Networks—0
Automatic Map Update Using Dashcam Videos—0
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous DrivingCode1
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation—0
Semantic Segmentation-assisted Scene Completion for LiDAR Point CloudsCode1
Towards Generalized and Incremental Few-Shot Object Detection—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection ScenariosCode1
Survey on Semantic Stereo Matching / Semantic Depth Estimation—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNsCode1
Generalized dynamic cognitive hierarchy models for strategic driving behavior—0
ACReL: Adversarial Conditional value-at-risk Reinforcement Learning—0
Stochastic MPC with Multi-modal Predictions for Traffic Intersections—0
Anomaly Detection in Radar Data Using PointNets—0
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning—0
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous DrivingCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Real Time Monocular Vehicle Velocity Estimation using Synthetic Data—0
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual PatternsCode0
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors—0
Neural Architecture Search in operational context: a remote sensing case-study—0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—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