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 5401–5425 of 6092 papers

TitleStatusHype
Perception as prediction using general value functions in autonomous driving applications—0
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement LearningCode1
GhostImage: Remote Perception Attacks against Camera-based Image Classification SystemsCode0
Safety Control with Preview Automaton—0
Review: deep learning on 3D point clouds—0
Probabilistic 3D Multi-Object Tracking for Autonomous DrivingCode1
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
LIDAR Data for Deep Learning-Based mmWave Beam-Selection—0
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous DrivingCode1
The Past and Present of Imitation Learning: A Citation Chain Study—0
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving—0
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems—0
The Pedestrian Patterns Dataset—0
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations—0
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor EnvironmentCode1
Intelligent Roundabout Insertion using Deep Reinforcement Learning—0
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks—0
Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck—0
Multi-lane Detection Using Instance Segmentation and Attentive Voting—0
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
Vehicle Communication using Hash Chain-based Secure Cluster—0
Deep Learning for 3D Point Clouds: A SurveyCode1
Learning by CheatingCode1
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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