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 5451–5500 of 6092 papers

TitleStatusHype
The Past and Present of Imitation Learning: A Citation Chain Study—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
Intelligent Roundabout Insertion using Deep Reinforcement Learning—0
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks—0
Multi-lane Detection Using Instance Segmentation and Attentive Voting—0
Real-Time Mine Road Boundary Detection and Tracking for Autonomous Truck—0
Vehicle Communication using Hash Chain-based Secure Cluster—0
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review—0
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes—0
Metamorphic Testing for Object Detection Systems—0
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks—0
Hierarchical Deep Stereo Matching on High-resolution ImagesCode0
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path—0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—0
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
Deep Model Compression Via Two-Stage Deep Reinforcement Learning—0
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving—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
Learning a Decision Module by Imitating Driver's Control Behaviors—0
Urban Driving with Conditional Imitation Learning—0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles—0
Simulation-based reinforcement learning for real-world autonomous drivingCode0
AutoRemover: Automatic Object Removal for Autonomous Driving VideosCode0
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling—0
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement—0
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving—0
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit AffordancesCode0
Identifying Model Weakness with Adversarial Examiner—0
Looking at the right stuff: Guided semantic-gaze for autonomous driving—0
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms—0
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction—0
Crowd Density Forecasting by Modeling Patch-based Dynamics—0
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving—0
Decision Making for Autonomous Driving via Augmented Adversarial Inverse Reinforcement Learning—0
NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving—0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network—0
Coverage Testing of Deep Learning Models using Dataset Characterization—0
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images—0
LiDAR ICPS-net: Indoor Camera Positioning based-on Generative Adversarial Network for RGB to Point-Cloud Translation—0
VisionISP: Repurposing the Image Signal Processor for Computer Vision Applications—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