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 5301–5350 of 6092 papers

TitleStatusHype
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes—0
Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors—0
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations—0
Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios—0
Shared Cross-Modal Trajectory Prediction for Autonomous Driving—0
Physically Realizable Adversarial Examples for LiDAR Object Detection—0
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic SegmentationCode1
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning—0
Physical Model Guided Deep Image Deraining—0
RetinaTrack: Online Single Stage Joint Detection and TrackingCode1
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior—0
PiP: Planning-informed Trajectory Prediction for Autonomous DrivingCode1
Adversarial Attacks on Monocular Depth Estimation—0
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction—0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes—0
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
Counterfactual Policy Evaluation for Decision-Making in Autonomous DrivingCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
Deep Constrained Q-learning—0
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image—0
Generalizable Pedestrian Detection: The Elephant In The Room—0
Vision-Based Autonomous Driving: A Model Learning Approach—0
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban RoadwaysCode1
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image TranslationCode1
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy—0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance—0
Learning to Optimize Autonomy in Competence-Aware Systems—0
Neural Mesh Refiner for 6-DoF Pose Estimation—0
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View MapsCode1
A Survey of End-to-End Driving: Architectures and Training Methods—0
Interaction Graphs for Object Importance Estimation in On-road Driving Videos—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
LiDAR guided Small obstacle SegmentationCode0
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation—0
Using an ensemble color space model to tackle adversarial examples—0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images—0
Off-Road Drivable Area Extraction Using 3D LiDAR Data—0
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving—0
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural NetworksCode0
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile RobotsCode1
A machine learning environment for evaluating autonomous driving software—0
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
Inferring Spatial Uncertainty in Object Detection—0
Spherical formulation of moving object geometric constraints for monocular fisheye cameras—0
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving—0
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color—0
Safe Mission Planning under Dynamical Uncertainties—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