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 361370 of 2605 papers

TitleStatusHype
Multi-Agent Routing Value Iteration NetworkCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?Code1
Reinforcement Learning Under Moral UncertaintyCode1
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving CarsCode1
MANTRA: Memory Augmented Networks for Multiple Trajectory PredictionCode1
Sponge Examples: Energy-Latency Attacks on Neural NetworksCode1
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent FuturesCode1
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance ChangeCode1
Persistent Map Saving for Visual Localization for Autonomous Vehicles: An ORB-SLAM ExtensionCode1
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Benchmark Results

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