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

Showing 24312440 of 2605 papers

TitleStatusHype
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control0
Computer Vision for Autonomous Vehicles0
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty0
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping0
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving0
Joint Monocular 3D Vehicle Detection and TrackingCode0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning0
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness0
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous VehiclesCode0
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Benchmark Results

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