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 1641–1650 of 2605 papers

TitleStatusHype
A Framework for Multisensory Foresight for Embodied AgentsCode0
DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter WeatherCode0
Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving—0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—0
Learning to Navigate Intersections with Unsupervised Driver Trait InferenceCode1
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
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous VehiclesCode1
Autonomous Vehicles for Ride-Hailing—0
Interactive multi-modal motion planning with Branch Model Predictive ControlCode1
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Benchmark Results

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