최근 자동차 산업에서는 교통문제 해결과 비즈니스 가치창출에 핵심적인 역할을 할 것으로 기대되는 자율주행차의 개발 경쟁이 치열하게 전개되고 있다. 그러나 아직 자율주행차는 가변적이고 돌발적인 주행 상황에 대한 대처능력이 부족하다. 이를 해결하기 위해서는 AI 알고리즘의 개선과 돌발상황에 대한 데이터 축적을 통해 AI의 주행능력을 개선해야 한다. 더불어 정밀지도, 센서 융합과 컨볼루션 신경망(CNN) 등의 적용을 통해 알고리즘의 한계를 보완할 수 있다. 완전자율주행차가 확산되기 위해서는 시스템 에러로 인한 사고의 설명 불가능성, 교통사고 발생 상황에서의 윤리적 난제, 사고발생의 책임과 데이터 수집과정에서의 개인정보 보호 문제 등 관련 문제들도 함께 해결되어야 할 것이다. 향후 완전자율주행은 운전을 위한 노동력을 대체함으로써 자동차를 다양한 비즈니스 가치와 생활 편의 서비스 제공을 위한 플랫폼으로 변화시킬 것이다. 이는 궁극적으로 자동차업계의 비즈니스 진화방향을 모빌리티 서비스로 전환시킬 것으로 기대된다.
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