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 2551–2600 of 2605 papers

TitleStatusHype
Detecting Adversarial Attacks on Neural Network Policies with Visual ForesightCode0
Cooperative Automated Vehicles: a Review of Opportunities and Challenges in Socially Intelligent Vehicles Beyond Networking—0
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications—0
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis)—0
Towards Proving the Adversarial Robustness of Deep Neural Networks—0
Proceedings First Workshop on Formal Verification of Autonomous Vehicles—0
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous CarsCode0
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data—0
Systematic Testing of Convolutional Neural Networks for Autonomous Driving—0
Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms—0
Enhanced Emotion Enabled Cognitive Agent Based Rear End Collision Avoidance Controller for Autonomous Vehicles—0
Towards Social Autonomous Vehicles: Efficient Collision Avoidance Scheme Using Richardson's Arms Race Model—0
Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach—0
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Automated Generation of Diverse and Challenging Scenarios for Test and Evaluation of Autonomous Vehicles—0
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles—0
Wetness and Color From a Single Multispectral Image—0
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving CarsCode0
Learning to Map Vehicles into Bird's Eye ViewCode0
End-to-end Learning of Image based Lane-Change DecisionCode0
Pedestrian Prediction by Planning using Deep Neural Networks—0
Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning—0
LiDAR-Camera Calibration using 3D-3D Point correspondencesCode0
VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach—0
Counterfactual Multi-Agent Policy GradientsCode1
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks—0
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous VehiclesCode1
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning—0
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art—0
Finite-Time Stabilization of Longitudinal Control for Autonomous Vehicles via a Model-Free Approach—0
The Stixel world: A medium-level representation of traffic scenes—0
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach—0
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial ImpostersCode0
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving—0
Learning Adversary-Resistant Deep Neural Networks—0
Computational Mapping of the Ground Reflectivity with Laser Scanners—0
Learning from Maps: Visual Common Sense for Autonomous Driving—0
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles—0
Embedded real-time stereo estimation via Semi-Global Matching on the GPUCode0
Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks—0
Mammalian Value Systems—0
Polling-systems-based Autonomous Vehicle Coordination in Traffic Intersections with No Traffic Signals—0
A Framework for Estimating Long Term Driver Behavior—0
Shallow Networks for High-Accuracy Road Object-Detection—0
Speeding up Semantic Segmentation for Autonomous DrivingCode0
Backprop KF: Learning Discriminative Deterministic State EstimatorsCode0
Road Detection through Supervised Classification—0
Crafting Adversarial Input Sequences for Recurrent Neural NetworksCode0
Formal Verification of Autonomous Vehicle Platooning—0
Optimal strategies for the control of autonomous vehicles in data assimilation—0
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Benchmark Results

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