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Bench2Drive

Bench2Drive is an autonomous driving benchmark based on the CARLA leaderboard 2.0. It consists of 220 short routes featuring safety critical scenarios. The evaluation is performed closed-loop in the CARLA simulator. The performance of an entire driving stack is being evaluated.

Papers

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Showing 1–10 of 35 papers

TitleStatusHype
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous DrivingCode0
FocalAD: Local Motion Planning for End-to-End Autonomous Driving—0
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving—0
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous DrivingCode0
CogAD: Cognitive-Hierarchy Guided End-to-End Autonomous Driving—0
ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous DrivingCode1
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)—0
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving—0
iPad: Iterative Proposal-centric End-to-End Autonomous DrivingCode2
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving—0
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