SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2201–2225 of 2605 papers

TitleStatusHype
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks—0
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision—0
Performance Analysis of RSU-based Multihomed Multilane Vehicular Networks—0
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty—0
Self-explaining AI as an alternative to interpretable AI—0
Vehicle Driving AssistantCode0
Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles—0
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles—0
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain—0
Localization in Autonomous Vehicles Using a Generalized Inner Product—0
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningCode0
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous VehiclesCode0
Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—0
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles—0
Decentralized Optimization of Vehicle Route Planning -- A Cross-City Comparative Study—0
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving—0
RMNv2: Reduced Mobilenet V2 for CIFAR10—0
PaRoT: A Practical Framework for Robust Deep Neural Network TrainingCode0
The Pedestrian Patterns Dataset—0
Learning Selective Sensor Fusion for States Estimation—0
Vehicle Communication using Hash Chain-based Secure Cluster—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified