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

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Showing 1761–1770 of 2605 papers

TitleStatusHype
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
A Framework for Multisensory Foresight for Embodied AgentsCode0
Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving—0
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain—0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models—0
Autonomous Vehicles for Ride-Hailing—0
Emerging AI Security Threats for Autonomous Cars -- Case Studies—0
A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles—0
ViSTA: a Framework for Virtual Scenario-based Testing of Autonomous Vehicles—0
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Benchmark Results

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