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 601–625 of 2605 papers

TitleStatusHype
Benchmarking Adversarially Robust Quantum Machine Learning at Scale—0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
DeepLaser: Practical Fault Attack on Deep Neural Networks—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
Behavior Planning of Autonomous Cars with Social Perception—0
An Empirical Analysis of Range for 3D Object Detection—0
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN—0
Deep learning based infrared small object segmentation: Challenges and future directions—0
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation—0
Deep Occupancy-Predictive Representations for Autonomous Driving—0
A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles—0
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning—0
Behavior Identification and Prediction for a Probabilistic Risk Framework—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning—0
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors—0
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks—0
Evaluation Uncertainty in Data-Driven Self-Driving Testing—0
Bandwidth-Adaptive Feature Sharing for Cooperative LIDAR Object Detection—0
3D Object Positioning Using Differentiable Multimodal Learning—0
Deep Camera Pose Regression Using Pseudo-LiDAR—0
DeepCrashTest: Turning Dashcam Videos into Virtual Crash Tests for Automated Driving Systems—0
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Benchmark Results

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