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 2451–2475 of 2605 papers

TitleStatusHype
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles—0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems—0
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]Code0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Trajectory planning for autonomous intersection management of connected vehicles—0
Memory-like Map Decay for Autonomous Vehicles based on Grid Maps—0
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards—0
Recurrent Flow-Guided Semantic ForecastingCode0
Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data—0
Focal Loss in 3D Object DetectionCode0
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Socially Aware Kalman Neural Networks for Trajectory Prediction—0
Adversarial Examples: Opportunities and Challenges—0
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective—0
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement LearningCode0
Humans can decipher adversarial images—0
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision—0
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios—0
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles—0
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
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Benchmark Results

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