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 1526–1550 of 6092 papers

TitleStatusHype
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic ScenariosCode0
Opendenselane: A Dense Lidar-Based Dataset for HD Map ConstructionCode0
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutionsCode0
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural NetworksCode0
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous DrivingCode0
On the Fly Neural Style Smoothing for Risk-Averse Domain GeneralizationCode0
On the Importance of Backbone to the Adversarial Robustness of Object DetectorsCode0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial ApplicationsCode0
Online Temporal Calibration for Monocular Visual-Inertial SystemsCode0
Black-Box Testing of Deep Neural Networks Through Test Case DiversityCode0
Automotive Radar Data Acquisition using Object DetectionCode0
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood AggregationCode0
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly DetectionCode0
On Offline Evaluation of Vision-based Driving ModelsCode0
On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionCode0
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian ManifoldsCode0
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object ClassificationCode0
KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for autonomous drivingCode0
Online Distillation with Continual Learning for Cyclic Domain ShiftsCode0
OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban EnvironmentCode0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
Understanding and Mitigating the Limitations of Prioritized Experience ReplayCode0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
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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