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 5401–5450 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
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review—0
Metamorphic Testing for Object Detection Systems—0
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes—0
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks—0
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path—0
Hierarchical Deep Stereo Matching on High-resolution ImagesCode0
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—0
Scalability in Perception for Autonomous Driving: Waymo Open DatasetCode2
Learning a Layout Transfer Network for Context Aware Object Detection—0
Detection of False Positive and False Negative Samples in Semantic SegmentationCode0
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving—0
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction—0
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?—0
Learning Super-resolved Depth from Active Gated Imaging—0
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving—0
Deep Model Compression Via Two-Stage Deep Reinforcement Learning—0
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped ActivationCode0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
Just Go with the Flow: Self-Supervised Scene Flow EstimationCode0
Urban Driving with Conditional Imitation Learning—0
Learning a Decision Module by Imitating Driver's Control Behaviors—0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles—0
Simulation-based reinforcement learning for real-world autonomous drivingCode0
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling—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