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 171–180 of 2605 papers

TitleStatusHype
Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving—0
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights—0
Constrained Generative Modeling with Manually Bridged Diffusion Models—0
RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehiclesCode1
CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query—0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization—0
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems—0
IBURD: Image Blending for Underwater Robotic Detection—0
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Benchmark Results

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